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Machine Learning Engineer
Postmates
Postmates relies heavily on our engineering team to realize this vision. Building a software platform that is reliable, scales, and stays agile under demanding product needs is a serious technical challenge. Postmates is a three-part balancing act connecting customers, merchants, and couriers in real-time. If any piece is out of whack, the whole system suffers. Working with the Postmates engineering team offers an opportunity with explosive growth, cutting-edge technology, a highly visible charter, and a cool user-focused product vision.

In this role, you’ll have the opportunity to work on various challenging machine learning and optimization problems in real-time and in scale, including:

Modeling and forecasting demand and supply to enable more intelligent matching, optimize the overall marketplace efficiency, and provide valuable insights to our merchants and Postmates
Large scale Machine Learning algorithms and infrastructure that powers our Search Ranking models and Personalized Recommendation Engine
Predicting the Postmates Delivery Time (PDT) and improving the efficiency (batching, chaining, etc) and reliability of the dispatching algorithm
Determining the optimal pricing strategies to help our Postmates maximize their revenue
Identifying suspicious transactions and malicious users for risk control
Natural Language Processing to understand text content on Postmates platform, including named entity resolution and recognization of reviews, descriptions and interactions between users on our marketplace
Link: https://boards.greenhouse.io/postmates/jobs/1890947
Machine Learning Data Scientist
Postmates
In this role, you’ll have the opportunity to work on various challenging machine learning and optimization problems in real-time and in scale, including:

Modeling and forecasting demand and supply to enable more intelligent matching, optimize the overall marketplace efficiency, and provide valuable insights to our merchants and Postmates

Large scale Machine Learning algorithms and infrastructure that powers our Search Ranking models and Personalized Recommendation Engine

Predicting the Postmates Delivery Time (PDT) and improving the efficiency (batching, chaining, etc) and reliability of the dispatching algorithm

Determining the optimal pricing strategies to help our Postmates maximize their revenue

Identifying suspicious transactions and malicious users for risk control
Natural Language Processing to understand text content on Postmates platform, including named entity resolution and recognization of reviews, descriptions and interactions between users on our marketplace.
Link: https://boards.greenhouse.io/postmates/jobs/1891999
Senior Data Scientist
Bumble
https://bumble.com/en/jobs/senior-data-scientist-209
Link: https://bumble.com/en/jobs/senior-data-scientist-209
Senior Software Engineer - Recommendations
Flipboard
Do you want to use your software engineering expertise to re-imagine how users can find the best, most relevant content to read?

Flipboard is a content discovery platform for your passions, interests, and news. Available on web, iOS, and Android, Flipboard offers the world important and influential articles shared by the greatest publishers and our awesome Flipboard community to advance conversation, keep people informed, and inspire them to engage, learn, and lead.

At Flipboard we are re-imagining how people consume news and information in the world. The Recommendations team deals with billions of daily signals to help users in the face of information overload by:

- Producing feeds tailored to users’ interests while adhering to sound journalistic principles
- Connecting users and recommending articles, videos, topics, magazines and commerce
- Using a wide range of data-driven techniques drawn from machine learning, collaborative filtering, natural language processing and old-fashioned straight-up product design

Responsibilities

• Work with an interdisciplinary group of engineers, data scientists, designers and editorial staff to scale and develop our content recommendation products
• Own the full model lifecycle: from research and implementation to production and refinement
• Run experiments to draw insights and inform further worthwhile pursuits. The systems you build will scale to millions of daily active users
• Have substantial independence and responsibility from Day One

Requirements

• Minimum 5 years of relevant industry experience
• Highly proficient in at least two of Python, C++, Java
• Mathematics foundation, with experience in Recommender Systems, Machine Learning or NLP
• Experience with large-scale distributed architecture and implementation
• Self-starter with excellent communication skills
• Enjoys R&D and working on open-ended problems without clearly defined solutions
• Passion for distributing high-quality, truthful and balanced content
Link: http://flipboard.com
Search Science Researcher/Engineer
Apple
The Apple Media Products Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a substantial scale, meeting Apple’s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries.

These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services.

We are looking for an extraordinary applied researcher/engineer to build and enhance features improving discoverability of the content for Apple Media Products. This team is responsible for improving query understanding, classification, and ranking of search results for App Store, Apple Music, Podcasts, Movies, and iBooks.

Key Qualifications:

- Deep understanding of machine learning algorithms and Information Retrieval Systems.
- Proficiency in Java or another OO language.
- Scalable data structures, algorithms, and OO software design and implementation skills.
- Experience working with parallel processing technologies such as MapReduce and Hadoop.
- Knowledge of Lucene/SOLR internals.
- Strong written and interpersonal skills.
- Know your way around a Unix command line environment.

Education & Experience: BS in Computer Science or equivalent experience. MS or PhD preferred
Post Doctoral Fellow
Qatar Computing Research Institute
We are looking for multiple postdoc fellows that are about to complete their PhDs or have recently finished it. Candidates should have background in Machine Learning methodologies including Deep Learning and Bayesian techniques. Knowledge of health data is a plus. The fellows will work as part of a research and development team consisting of scientists and software engineers to develop new research objectives, methodologies, and solutions related to machine learning/artificial intelligence in healthcare. You will be part of a newly established Center for Digital Health.


Attractive package (tax-free) with benefits.

Qatar Computing Research Institute (QCRI) aims to build Qatar’s innovation and technology capacity by focusing on large-scale computing challenges that address national priorities for growth and development, supporting Qatar’s transformation from a hydrocarbon-based economy to a knowledge-based economy.
Link: None
Scientist
Qatar Computing Research Institute
We are looking for scientist candidates at all levels (Junior, Senior). Candidates should have background in Machine Learning methodologies including Deep Learning and Bayesian techniques. Knowledge of health data is a plus. The fellows will work as part of a research and development team consisting of scientists and software engineers to develop new research objectives, methodologies, and solutions related to machine learning/artificial intelligence in healthcare. You will be part of a newly established Center for Digital Health.


Attractive package (tax-free) with benefits.

Qatar Computing Research Institute (QCRI) aims to build Qatar’s innovation and technology capacity by focusing on large-scale computing challenges that address national priorities for growth and development, supporting Qatar’s transformation from a hydrocarbon-based economy to a knowledge-based economy.
Link: None
Data Scientist
Vianai
Our ideal colleague:
Expert & Student: We want to work with someone who has deep domain expertise and is also open and curious to new ways of doing things.
Maker & Manager: Someone who be hands-on and do the work, as well as lead thought and teams. A colleague who will jump in the trenches and lead by example.
Collaborative & Independent: Someone who values communication and connection with others and is able to collaborate as part of a team and work independently

About You:
Qualifications
M.S. or Ph.D. in Computer Science, Applied Mathematics, Statistics or related field
Track record of developing novel learning algorithms/systems
Professional experience in statistical modeling, machine learning, or data mining practice
Candidate should be able to in a multi-task creative environment, rapid prototype, and agile development environment.
Experience with Machine/Deep Learning software packages such as TensorFlow/MXNet/SparkML/R etc.
Ability to visualize data and present core insights in a clear and compelling way
Excellent communication, relationship skills and a strong team player
Able to work onsite in Palo Alto, CA, or Tel Aviv, Israel
Able to travel to customer site
Preferred Qualifications
Experience with big data techniques (such as Hadoop, Spark)
Hands on experience with deep learning with areas of computer vision, natural language processing techniques etc.
Strong Industry domain knowledge and experience preferred
Publication track record on deep learning / machine learning
PhD degree in Computer Science, Physics, Applied Mathematics, Statistics or related quantitative field
Link: https://www.linkedin.com/jobs/view/1959961305/
Data Engineer
Vianai
Our ideal colleague:
Expert & Student: We want to work with someone who has deep domain expertise and is also open and curious to new ways of doing things.
Maker & Manager: Someone who will be hands-on and do the work, as well as lead brainstorming sessions and teams. A colleague who will jump in the trenches and lead by example.
Collaborative & Independent: Someone who values communication and connection with others and can collaborate as part of a team and work independently

Qualifications:
5+ years of experience in a Data Engineer role, where you:
Built and designed large-scale applications
Created database architecture and data warehousing
Modeled and mined datasets
Created statistical modeling and regression analysis
Distributed computing and split algorithms to yield predictive accuracy
Have experience in the following systems
Object stores like S3 or Azure Blobs
Hadoop-based analytic components, such as HBase, Hive, Pig, MapReduce
Open-source big data components such as Hadoop, Spark, Kafka, etc.
Linux required; Azure a plus
Machine learning, including Apache Spark and TensorFlow
SQL and NoSQL databases and their languages, including Postgres, Bigtable and Cassandra
Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Azure cloud services: VMs, HDInsight, AKS, Service Fabric, Azure SQL, Cosmos, DataBricks, etc.
Stream-processing systems: Storm, Spark-Streaming, etc.
A graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
Proficiency in many languages, especially R, SAS, Scala, Python, C/C++, Ruby, Perl, Java, and MatLab
Link: https://www.linkedin.com/jobs/view/1959955862/
Analytics Engineer
US Cellular Corporation
This role will have expertise in RF (radio-frequency), operations, engineering and analytics subject area. This position will use Artificial Intelligence (AI)/Machine Learning, Big Data and Predictive Analytics This role collaborates with a centralized analytics functions to facilitate scientific analytics techniques for decision-making. This role works with SMEs within the department, using analytics, performance, and capacity engineering. Act as liaison with applications development and tools teams to ensure data is available for appropriate analytics activities. Work to ensure successful implementation of new technologies, policies, and procedures for business network operations, leading to eventual automation of analytics activities to ensure agility. Bringing to bear Agile & DevOps techniques, present capacity and performance engineering analytics results, reports, and recommendations to performance engineers, performance managers, engineering managers, and executive management!
Link: https://rolp.co/U3vSi
Applied Researcher @ eBay - All Levels
eBay
Looking to make an impact on the future of global commerce? Do you want to shape how millions of people buy, sell, and engage around the world?

The Search Ranking and Monetization Team is the biggest contributor to eBay’s advertising program. We innovate at the heart of e-commerce search and advertising, with the ambitious goal of redefining e-commerce advertising. We craft optimized experiences for buyers and sellers on eBay. We innovate rapidly in this space and there is no shortage of new challenges for motivated individuals.

We are looking for stellar applied researchers to join us and build the next generation of online advertising products in eBay search. If you enjoy the scale and technical complexity of advertising and want to be at the frontier of applied research in advertising in e-commerce, join now. Help us redefine advertising at eBay.

Job Responsibilities
Seek scientifically valid solutions that deliver real value to eBay customers
Build machine learning models and data pipelines to deliver insightful yet practical solutions
Work with multiple teams to help promote standard scientific methodologies and processes in your field
Present key technical and novel research work in public forums and conferences


Basic Qualifications
PhD in Computer Science, Statistics, Mathematics, or equivalent
1-3 years (with PhD) or 3-5 years (with MS) of industrial experience in a related field
Industrial experience with one or more of the following: classification, regression, recommendation systems, targeting systems, ranking systems, fraud detection, online advertising, or related
Experience in big data processing, e.g. Hadoop, SQL, Spark
Experience with Python or R, and Java or Scala or C/C++
2 or more related publications in quality conferences or journals
Link: https://jobs.ebayinc.com/job/san-jose/applied-researcher-2/403/689739984
Software Engineer in Advertising @ eBay
eBay
We need strong engineers to join us and build the next generation of search products in eBay search. If you enjoy the scale and technical complexity of advertising and want to work closely with researchers yet drive the highest standards on system quality, join now. Help us redefine advertising at eBay.

Who are we?
The Search Ranking and Monetization Team is the biggest contributor to eBay’s advertising program and drives a significant portion of revenue. We are growing at a rapid pace and committed to building a stellar team. We are a team where people who do things differently and win are rewarded and grow. Our team is results-oriented and hardworking; the environment is relaxed and fun. We get things done that make a difference.

What will you do?
Drive the search monetization technical vision by incorporating and developing software engineering processes and standards to enhance eBay’s buying experience.
Collaborate with scientists and product managers to deploy complex yet scalable core algorithmic logic.
Create robust data pipelines and real-time monitoring and optimization algorithms.

Job Requirements:
What we are looking for in candidates:

4+ years of software design and development experience, solid foundation in computer science with strong proficiencies in data structures, algorithms, OOPs, and Software Design
Experience in designing and operating big data processing pipelines, such as: Hadoop, Spark, Hive, ETL
3+ years of software development experience in building large scale Web Services and Backend Applications using Java, C++, and related technologies
Proven results oriented person with a delivery focused in a high fast-paced and dynamic environment
Excellent verbal and written communication, collaboration, and influencing skills
Masters degree in computer science/engineering or equivalent professional experience, with 1+ year exp in related field
Link: https://jobs.ebayinc.com/job/san-jose/mts1-software-engineer/403/886731136
Postdoctoral Fellow
Georgia Tech, College of Computing
Please see more details here: https://www.cc.gatech.edu/~badityap/postdoc.html


The School of Computational Science and Engineering, College of Computing, at Georgia Tech invites applications for a Postdoctoral Fellowship position. The Fellow will work in AdityaLab, led by Prof. B. Aditya Prakash, on innovative cross-disciplinary research, focusing on AI/ML/Data Science with applications to computational epidemiology, public health, urban computing and the web, including timely and highly impactful COVID-19 response work.


Recent work done by the lab includes designing data-driven COVID-19 forecasting methods for CDC projects (also featured on FiveThirtyEight.com), developing new methods of combatting Hospital Acquired Infections, inventing novel algorithms for adaptive disease surveillance, and failure analysis of national critical infrastructure. Lab members routinely collaborate with leading epidemiology groups, national labs, web and healthcare companies and other computing researchers at Georgia Tech and other leading universities (spanning ML, algorithms, systems, security and viz). We develop new computational methods in deep learning, network analysis, mathematical modeling, and spatio-temporal signal mining.
Link: https://www.cc.gatech.edu/~badityap/postdoc.html
Senior Engineers, Manager, Search Relevance and Personalization
Airbnb
Multiple positions: see https://bit.ly/ronnykHiringAirbnb
Link: https://bit.ly/ronnykHiringAirbnb
Senior Machine Learning Scientist - Data Science & AI
ASOS.com
ASOS is one of the UK’s top fashion and beauty destinations, expanding globally at a rapid pace. Our values are to be authentic, brave and creative, and we live and breathe these in everything we do.

We are looking for Machine Learning Scientists to join our retail machine learning team and play a key role in helping ASOS provide the best shopping experience to our millions of customers. The role offers broad exposure to ASOS, requiring close collaboration with retail and technology divisions. You will be part of a highly innovative AI platform working alongside engineers and fellow scientists to solve and productionise interesting and difficult problems and leveraging cutting edge technology. At ASOS, as an online only retailer, we have unique datasets – transactions and click streams for millions of customers and photos, videos, and text descriptions of hundreds of thousands of products.

The ideal candidate will have a strong technical background and experience solving tough problems with large datasets. You will be a highly intelligent self-starter, able to work independently with a strong attention to detail.

What you'll be doing...
- Working in cross functional team, alongside engineers, business analysts and non-technical stakeholders, creating new and improving internal and external facing data products
- Develop Competitive Pricing models which optimise our Product base across different markets, currencies and fulfilment centres
- Research and leverage new machine learning and time series prediction methodologies to predict demand and return rates, forecasting future sales of our products
- Driving the implementation and scale-up of algorithms for measurable impact across the business
- Keeping up with relevant state-of-the-art research, taking part in reading groups alongside other scientists, with the opportunity to publish novel prototypes for the business at top conferences
Link: https://asos.wd3.myworkdayjobs.com/en-US/externalcareers/job/London/Senior-Machine-Learning-Scientist_JR8488
Data Scientist
ASOS.com
We are looking for a Data Scientist to join our Growth Science team and play a key role in helping ASOS provide the best shopping experience to our millions of customers.



The role offers broad exposure to ASOS, requiring close collaboration with retail, marketing and technology divisions. You will be part of a highly innovative AI platform working alongside engineers and fellow scientists to solve and productionise interesting and difficult problems to understand, measure and optimise Marketing budgets.



At ASOS, as an online only retailer, we have unique datasets – transactions and click streams for millions of customers and photos, videos, and text descriptions of hundreds of thousands of products. We will also leverage third party data from our Marketing partners and various platforms.



The ideal candidate will have a strong technical background and experience solving tough problems with large datasets. You will be a highly intelligent self-starter, able to work independently with a strong attention to detail.
Link: https://asos.wd3.myworkdayjobs.com/en-US/externalcareers/job/London/Data-Scientist_JR8497
Data Scientist
Trimble
Data scientist position in Trimble Transportation working on supply chain optimization.

Job description and application here:
https://careers.trimble.com/jobs/engineering/us-mn/data-scientist/R30166?lang=en_us#/
Link: https://careers.trimble.com/jobs/engineering/us-mn/data-scientist/R30166?lang=en_us#/
Project Scientist: Explainable ML for analyzing COVID-19 Chest Xrays and CTs
University of California, San Diego
Halıcıoğlu Data Science Institute (HDSI) is conducting an open search for Project Scientist (non-tenured, Assistant, Associate or Full level) in collaboration with the Augmented imaging/Artificial intelligence and Data Analytics (AiDA) laboratory in the Department of Radiology. The mission of the The Halıcıoğlu Data Science Institute (HDSI) is to lay the groundwork for the scientific foundations of data science, develop new methods and infrastructure, and train students, faculty and industrial partners to use data science in ways that will allow them to solve some of the world’s most pressing problems. HDSI serves as a unique, collaborative and innovative academic unit across multiple disciplines at UC San Diego.

All candidates must have earned a Ph.D. or equivalent degree in biomedical imaging, engineering, computer science, statistics or related field. The successful candidate will join a multi-disciplinary team of investigators developing imaging technologies to improve diagnosis and management of cardiovascular disease, infectious disease and cancer. The appointee is expected to carry out research and provide expertise at the intersection of the fields of computed tomography (CT), magnetic resonance imaging (MRI), machine learning, image analysis, deep learning, data science, modeling, and signal processing. Candidates with outstanding writing and communication skills as demonstrated by a successful publication record is preferred.
Appointment level is dependent on academic experience and scholarly achievements.. Salary is commensurate with qualifications and based on University of California pay scales.

Initial review of applications will commence on October 1, 2020 and will remain open until filled based on the on-going needs. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Link: None
Search Science Software Engineer
eBay
​Looking to make an impact on the future of global commerce? If you enjoy the scale and technical complexity of search and want to work closely with researchers yet drive the highest standards on system efficiency and quality, join now. Help us redefine search at eBay.

​Who are we?
​The Search Query Understanding team drives a significant portion of revenue at eBay. We are growing at a rapid pace and committed to building a stellar team. Our team is results-oriented and hardworking. We are building solutions for core e-commerce search problems such as query rewriting, query annotation/classification, query recovery with state-of-the-art ML algorithms tailored to understand large-scale user behavioral signals. The environment is friendly and fun.

​What will you do?
​Drive the query understanding technical vision by incorporating and developing software engineering processes and standards to enhance eBay’s buying experience.
​Collaborate with scientists and product managers to deploy complex yet scalable core algorithmic logic.
​Create robust data pipelines and real-time monitoring and optimization algorithms.

​Job Requirements:

Passion and commitment for technical excellence
​1+ years of software design and development experience, solid foundation in computer science with strong proficiencies in data structures, algorithms, OOPs, and Software Design
​Experience in designing and operating big data processing pipelines, such as: Hadoop, Spark, Hive, ETL
​1+ years of software development experience in building large scale Web Services and Backend Applications using Java, C++, and related technologies
​Excellent verbal and written communication, collaboration, and influencing skills
​Bachelor's degree in computer science/engineering or equivalent professional experience, with 2+ years of experience,
​Masters degree in computer science/engineering or equivalent professional experience
Search Science Data Scientist
eBay
Looking to make an impact on the future of global commerce? Do you want to shape how millions of people buy, sell, and engage around the world?

​The Search Query Understanding team drives a significant portion of revenue at eBay. We are growing at a rapid pace and committed to building a stellar team. Our team is results-oriented and hardworking. We are building solutions for core e-commerce search problems such as query rewriting, query annotation/classification, query recovery with state-of-the-art ML algorithms tailored to understand large-scale user behavioral signals. The environment is friendly and fun.

​We are looking for stellar applied researchers to join us and build the next generation of query understanding products. If you enjoy the scale and technical complexity of query processing (understanding query intent, entity resolution and tagging, categorization, intelligent query rewrites and clustering, application of knowledge graph, to name a few) and want to be at the frontier of applied research in e-commerce, join now.

​Job Responsibilities
​Seek scientifically valid solutions that deliver real value to eBay customers
​Build machine learning models and data pipelines to deliver insightful yet practical solutions
​Work with multiple teams to help promote standard scientific methodologies and processes in your field
​Present key technical and novel research work in public forums and conferences

​Basic Qualifications
​MS or PhD in Computer Science, Statistics, Mathematics, or equivalent
PhD or 1-3 years (with MS) of industrial experience in a related field
Experience with one or more of the following: classification, regression, NLP, GBM, recommendation systems, clustering, fraud detection, DeepLearning/Neural Networks, or related
​Experience in big data processing, e.g. Hadoop, SQL, Spark
​Experience with Python or R, and Java or Scala or C/C++
(Optional) Related publications in quality conferences or journals
Postdoctoral Researcher at University of Michigan: Deep Learning for Genomics
University of Michigan
The Welch Lab at the University of Michigan is seeking a postdoctoral researcher to develop deep learning approaches for genomic data. With strong connections to the Department of Computer Science and Engineering and School of Medicine at the University of Michigan, both nationally prominent programs, this is a unique interdisciplinary opportunity. We currently have three NIH-funded projects with diverse biomedical applications, including stem cell biology, HIV, and neuroscience. In addition to biological discovery, we are interested in fundamental machine learning research, including deep generative models and deep learning for graph-structured data.
Link: None
Postdoc in Educational Data Mining
University at Albany - SUNY
We are seeking a postdoctoral fellow to work on exciting interdisciplinary projects at the intersection of machine learning, network science, and education at the Computer Science Department at SUNY Albany, NY, USA.

The successful candidate will contribute to a project funded by the National Science Foundation (NSF) on developing predictive models to detect and characterize procrastination processes in students in the context of online learning environments. The project has an emphasis on temporal and social modeling of student trace, survey, and interaction data.

Requirements:
* PhD in computer science with a focus in machine learning, network science, educational data mining, or recommender systems;
* A strong research record, documented by recent publications in top-tier conferences and journals;
* Good communication skills and fluency in English;
* Being highly motivated and creative, enjoying working in a collaborative research environment.

The position is provided for up to 2 years with competitive salary and benefits. The starting dates are flexible. Applications will be considered until the position is filled.

To apply, please send your detailed CV (including the contact information of two references) and a one-page research statement, discussing how your background fits the requirements and topic to Dr. Sherry Sahebi at ssahebi@albany.edu and Dr. Reza Feyzi Behnagh at rfeyzibehnagh@albany.edu with the subject “Postdoc Application”.

For more information, please check http://www.cs.albany.edu/~sherry/projects/procrastination_detection.php


Link: http://www.cs.albany.edu/~sherry/opportunities.php
Machine Learning Ranking - Tech Lead
Faire
We are looking for a tech lead at Faire, a wholesale marketplace, Y-Combinator unicorn. Currently our growth rate is at 300% per year. Ideal candidate is experienced machine leaning scientists, with PhD in CS or related fields. Contact me in case you are interested. Open to remote.
Link: https://boards.greenhouse.io/faire/jobs/4005276002?gh_jid=4005276002
Deep/machine Learning scientist - Recsys or Search Ranking
Faire
We are hiring PhDs specialized in deep learning, recsys or ranking!

Ideal candidate: PhD in deep learning recsys or recsys with at least few years of experience.

Faire its wholesale marketplace unicorn with 300% growth rate YoY. You will be one of the main responsible for build our recommendation algorithm.

Open to remote for now (but you need to be USA or Canada based)

Link: None
ML for enhancing the quality of Healthcare Data
Aix Marseille University
Learning indicators, dependencies, and constraints for enhancing the quality of Healthcare Data

* Position: Post-Doctoral fellow
* Time commitment: Full-time
* Starting date: Flexible, beginning from September 2020 or thereafter
* Duration: 12 months
* Indicative salary: depending on experience from 1,980 Euros to 2,320 Euros net per month (2 460 Euros to 2 890 Euros gross per month) with social security benefits
* Hosting lab: LIS Lab (CNRS UMR 7020), Aix-Marseille University, Marseilles, France
* How to apply: Send your complete CV including a full publication list (and if possible a link to your PhD thesis) to laure.berti@ird.fr and noel.novelli@lis-lab.fr

The work will be carried out in the context of QualiHealth, a multi-partner project funded by ANR (the French Agency for Research). The candidate will participate in the extension of a data science platform dedicated to enhancing the quality of healthcare data.

* The successful candidate will work to develop, implement, and apply machine learning algorithms and approaches to enhance the quality of healthcare data. SpecificallyThe main missions are:
(i) Research on data quality profiling of healthcare data;
(ii) Designing machine learning algorithms to discover and rank data quality rules, dependencies and constraints;
(iii) Prototyping and testing the solutions for learning data quality indicators and quality constraints;
(iv) Integration and interfacing with the platform for checking the quality of healthcare data.

* Required Profile:
- PhD in Computer Science
- Experience in machine learning and complex data analysis and/or data management
- Programming skills in Python
- Skills on big-data platforms (Hadoop/Spark)
- Good written and verbal communication skills in English

Principal Data Scientist
Intuit
Intuit is hiring a Principal Data Scientist to join our Intuit AI team.
 
Responsibilities:
 
• Excellent leadership and communication skills, to influence and lead teams and to evangelize data science across the organization
• Proven leadership experience in the domain of Data Science
• Having a wide-latitude in determining objectives and approaches to solution development on mission critical assignments
• Going beyond established analytical thinking and problem-solving by applying creativity to unconventional concepts and out-of-the-box solutions
• Be part of a dynamic and cohesive team of highly trained and successful researchers
• Independence in the shaping and development of projects
• Ability to quickly understand patterns within large quantity of data and to reference key characteristics using visualization techniques
• Demonstrating strong programming skills in large-scale data analysis using Java, R, Python or related software
• Leveraging strong math skills and statistical knowledge to advanced data mining and data analysis activities related to next generation Cloud technologies 
• As an insight incubator, works autonomously or leads teams to generate or shape new and highly critical business propositions that exploit and monetize big data

Qualifications
 
• PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
• Solid knowledge of statistical techniques is required
• 3+ years as either a lead in a data science role or in a management position in data science
• Strong communication skills and proven experience as an influencer at executive level
• Hands-on programming experience with one or more of the following: Java, Python, R, or related languages
• 5+ years’ experience manipulating large datasets and using databases
• 3+ years’ experience with a general-purpose programming language (e.g. C, Java, Python, etc.)


 
 

Link: None
Research Engineer (multi level)
Educational Testing Service
The projects in this research group focus on the application of NLP, speech, dialogue, and multimodal processing algorithms in automated scoring capabilities for assessment and learning tasks involving constructed responses (such as essays and spoken responses). In addition to its signature automated scoring systems for speech and text assessments, the group is actively pursuing technology innovation in education and learning spaces by performing foundational research, prototyping next-generation capabilities, and collaborating with academic and industry partners. We encourage people from underrepresented and minority groups to apply. The NLP & Speech research group currently comprises around 20 PhD-level research scientists, 15 research engineers, and 10 research assistants and administrative staff.
Link: https://etscareers.pereless.com/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=306635
Research Scientist
Educational Testing Service
We are hiring scientists passionate about improving assessments, exploring ways to improve diversity and inclusion in testing, and excited to work on cutting edge education technology. We encourage women and minority applicants to apply.

Link: https://etscareers.pereless.com/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=302819
Staff Data Scientist
Intuit
Intuit is looking for innovative and hands-on Staff Data scientist to join the Intuit AI team.

Responsibilities

·      Excellent leadership and communication skills to influence teams and to evangelize data science across the organization
·      Perform hands-on data analysis and modeling with huge data sets
·      Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms
·      Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
·      Discover data sources, get access to them, import them, clean them up, and make them “model-ready”. You need to be willing and able to do your own ETL
·      Create and refine features from the underlying data. You’ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you’ll lather, rinse and repeat
·      Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders


Tech prerequisites

·      4+ years of industry experience with data science
·      BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
·      4+ years of hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression, tree-based methods, neural nets, support vector machines, anomaly detection, and natural language processing
·      Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.
·      Efficient in SQL, Hive, SparkSQL, etc.
·      Comfortable working in a Linux environment
·      Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
Link: None
Data Scientist for IoT (3+ yrs exper. title level proportional to exp)
FogHorn Systems
I am hiring DS people in Pune India who have 3+ years applied DS commercial experience, who have traind and deployed 3+ models in productiin use by others.

Overall, the DS team is a dozen, between the Sunnyvale, CA and Pune, India. Pay and title level is commensurate with your experience level (more experience is quite welcome).

My team works on IoT consulting projects that run on our Lighting platform, using Python skills like Scikit Learn or TensorFlow in a Docker image. We also develop Out Of Box Solutions, relating to Health Management Systems (i.e. COVID), Worker Safety (save lives, reduce workman's comp), Flare (CO2 emissions and for symptoms of upstream problems), Energy Management (help global warming by using less energy) and others. See http://www.foghorn.io/career/data-scientist
http://www.linkedin.com/in/GregMakowski
Link: http://www.foghorn.io/career/data-scientist
PostDoc Machine Learning
ML2R
Are you passionate about Machine Learning and would you like to build theoretically sound systems, implementing them on various computing platforms with guarantees of their resource consumption (energy, communication, memory)? Then apply to us:
Link: https://www.ml2r.de/en/landingpage/
Machine Learning Algorithms Engineer
Unsupervised.com, Inc
About the role
We are looking for engineers who thrive on building performant and scalable systems. What happens when you throw away SQL constraints? What happens when you think in terms of millions of columns? How do you run a query across clusters of hundreds of machines in multiple data centers? What is the role of GPU, multi-dimensional memory and other new physical capabilities? If these questions excite you, Unsupervised might be for you.

Unsupervised is a Boulder-based startup, building products that make it easy for people working with large amounts of data to discover the most important insights. This helps our customers, large consumer companies, better serve their customers: hundreds of millions of people across the world.

Our product is only possible because of advances that we've pioneered in AI. We are one of the only companies in the world building artificial intelligence systems based on unsupervised learning. This gives us an incredible technical advantage and has produced incredible demand for our product.
Link: https://unsupervised.com/careers/jobs?gh_jid=4430471002
Search Science Data Scientist 2
eBay
Looking to make an impact on the future of global commerce? Do you want to shape how millions of people buy, sell, and engage around the world?

​The Search Query Understanding team drives a significant portion of revenue at eBay. We are growing at a rapid pace and committed to building a stellar team. Our team is results-oriented and hardworking. We are building solutions for core e-commerce search problems such as query rewriting, query annotation/classification, query recovery with state-of-the-art ML algorithms tailored to understand large-scale user behavioral signals. The environment is friendly and fun.

​We are looking for stellar applied researchers to join us and build the next generation of query understanding products. If you enjoy the scale and technical complexity of query processing (understanding query intent, entity resolution and tagging, categorization, intelligent query rewrites and clustering, application of knowledge graph, to name a few) and want to be at the frontier of applied research in e-commerce, join now.

​Job Responsibilities
​Seek scientifically valid solutions that deliver real value to eBay customers
​Build machine learning models and data pipelines to deliver insightful yet practical solutions
​Work with multiple teams to help promote standard scientific methodologies and processes in your field
​Present key technical and novel research work in public forums and conferences

​Basic Qualifications
​MS or PhD in Computer Science, Statistics, Mathematics, or equivalent
​1-3 years (with PhD) or 3-5 years (with MS) of industrial experience in a related field
​Industrial experience with one or more of the following: classification, regression, NLP, GBM, recommendation systems, clustering, fraud detection, DeepLearning/Neural Networks, or related
​Experience in big data processing, e.g. Hadoop, SQL, Spark
​Experience with Python or R, and Java or Scala or C/C++
​2 or more related publications in quality conferences or journals
Search Science Software Engineers (MTS1)
eBay
​​Looking to make an impact on the future of global commerce? If you enjoy the scale and technical complexity of search and want to work closely with researchers yet drive the highest standards on system efficiency and quality, join now. Help us redefine search at eBay.

​Who are we?
​The Search Query Understanding team drives a significant portion of revenue at eBay. We are growing at a rapid pace and committed to building a stellar team. Our team is results-oriented and hardworking. We are building solutions for core e-commerce search problems such as query rewriting, query annotation/classification, query recovery with state-of-the-art ML algorithms tailored to understand large-scale user behavioral signals. The environment is friendly and fun.

​What will you do?
​Drive the query understanding technical vision by incorporating and developing software engineering processes and standards to enhance eBay’s buying experience.
​Collaborate with scientists and product managers to deploy complex yet scalable core algorithmic logic.
​Create robust data pipelines and real-time monitoring and optimization algorithms.


​Job Requirements:
​What we are looking for in candidates:
Passion and commitment for technical excellence
​4+ years of software design and development experience, solid foundation in computer science with strong proficiencies in data structures, algorithms, OOPs, and Software Design
​Experience in designing and operating big data processing pipelines, such as: Hadoop, Spark, Hive, ETL
​3+ years of software development experience in building large scale Web Services and Backend Applications using Java, C++, and related technologies
​Proven results oriented person with a delivery focused in a high fast-paced and dynamic environment
​Excellent verbal and written communication, collaboration, and influencing skills
​Bachelor's degree in computer science/engineering or equivalent professional experience, with 3+ years of experience.
Staff Machine Learning Engineer
Intuit
Overview:

In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...

Responsibilities:

Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.

Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.

Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.

Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.

Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.

Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.


Qualifications:


BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.

6+ years of experience

Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).

Understand machine learning principles (training, validation, etc.)

Knowledge of data query and data processing tools

Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).

Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.

Experience deploying highly scalable software supporting millions or more users

Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)

Strong oral and written communication skills.

Link: None
Sr Machine Learning Research Scientist @ Apple
Apple
Description:
Research, design and develop machine learning models for iTunes & App store recommendations. Propose, prototype and evaluate the algorithm improvements.
Build personalized recommender systems for Apple Music, Apps & Games Recommendations, Video, Podcast and Books Recommendations using one or more of the following methods: Deep Learning, Matrix Factorization, Factorization Machines, Text Mining, NLP, Learn to Rank models etc. Build a pipeline for analyzing big data that consists of both content and user data on Hadoop using map/reduce techniques.
Adapt machine learning algorithms to large scale data (big data). Develop and build cross validation for your models. Conduct human judgments and A/B experiments, improve ranking models based test data. Derive insights from the experimentation and convert them into feature improvements. Ship production quality code for the offline model building and work with engineering team to develop/deploy the run time system for the model. Analyze software performance problems and implement optimizations. Active contribution to identify areas of improvement in personalization and recommendation products. Ability to adapt latest in literature in the area to build efficient and scalable models.

Key Qualifications:
- Experience with MapReduce strongly preferred.
- Familiarity with following programming tools preferred: Hadoop, Spark, Java, Scala, Python, R, Tensorflow, CUDA.
- Strong knowledge of data mining, Big Data and statistical models.
- Large distributed systems and performance tuning experience.
- Experience with CPU architectures: Intel i386 and x86_64 family; ARM family.
- Knowledge of protocols and standards: Transport Stream file format; HTTP and HTTPS.
- Ability to handle high workload and multiple responsibilities.
- Strong written & oral communication skills.

Education & Experience:
MS in Machine Learning or Statistics or related degree or equivalent experience. PhD preferred.
Search Data Scientist / Researcher / Engineer @ Apple Media Prouduct
Apple
Summary:

The Apple Media Products Search team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a substantial scale, meeting Apple’s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. We build secure, end-to-end solutions. We develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. We are looking for an extraordinary applied researcher/engineer to build and enhance features improving discoverability of the content for Apple Media Products. This team is responsible for improving query understanding, classification, and ranking of search results for App Store, Apple Music, Podcasts, Movies, and iBooks.

Key Qualifications:

- Deep understanding of machine learning algorithms and Information Retrieval Systems.
- Proficiency in Java or other anguage.
- Scalable data structures, algorithms, and software design and implementation skills.
- Experience working with parallel processing technologies such as MapReduce and Hadoop.
- Knowledge of Lucene/SOLR internals.
- Strong written and interpersonal skills.
- Know your way around a Unix command line environment.

Education & Experience:

BS in Computer Science or equivalent experience. MS or PhD preferred
Applied Scientist, Experimentation Science Lead
Etsy
Etsy is an international marketplace with 65M+ handmade and vintage items from passionate artists, designers and vintage collectors.

Within the central Data organization, Experimentation Science team focuses on making offline & online experimentation faster and more robust for Etsy. We develop self service tools that are being consumed by our Machine Learning, Analytics, Engineering and Product partners.


We are looking for an experienced technical leader who can help build Etsy’s next generation experimentation platform.

What You'll Do:

> Push the state of the art and apply the latest advances to improve experimentation at Etsy.
> Prototype, optimize, and productionize experimentation techniques for both A/B and non-traditional experiments.
> Build ML specific experimentation solutions (interleaving, MABs, Human annotation) to speed up algorithm development.
> Work closely with engineers to scale experimentation solutions across Etsy products.
> Work closely with product partners to understand their needs and translate them into practical solutions.
> Share impactful and innovative work in the wider experimentation research community, including presenting at top-tier ML/DS/Stats conferences.
Link: https://www.etsy.com/careers/job/743999717313826
Senior Machine Learning Research Manager
Capital One
In Capital One’s Center for Machine Learning, you’ll be using your knowledge to solve business problems across multiple important domains. Our Applied Research team develops novel applications of cutting-edge ML to create the future of financial services. Youll be leading a team of researchers working in innovation areas that are critical for the future of the industry. These may include computer vision, representation learning, explainability, fairness, machine learning on graphs, Bayesian deep learning, AutoML, and any other topics that you feel are critical. Your work will result in both important impact in core business areas as well as in publications and open source projects.
Link: https://www.capitalonecareers.com/job/boston/senior-machine-learning-research-manager/1732/16943052
AI for social good Researchers (Multiple roles across levels and technical expertise)
Wadhwani Institute for Artificial Intelligence
Researchers at Wadhwani AI will build research-driven solutions to bring AI to the benefit of the underserved billions across the developing world.

We are hiring at various levels including Researcher, Senior Researcher, and Principal Researcher. These roles are commensurate with experience and will be evaluated on an individual basis.

ABOUT US

The Wadhwani Institute for Artificial Intelligence (Wadhwani AI) is the world’s first independent nonprofit research institute developing AI solutions for social good. Our mission is to develop AI solutions to overcome challenges of societal importance in domains such as health, agriculture, financial inclusion, and infrastructure.


ROLES AND RESPONSIBILITIES

As a Researcher, you will be responsible for building machine learning solutions to problems of societal importance, and mentoring other team members in this effort. You will participate in problem definitions and the development and execution of algorithms and solutions to the problems.

In order to apply machine learning and related technologies for social good, you will need to understand user challenges and their context, curate and transform data, train and validate models, run simulations and broadly derive insights from data. In doing so, you will work in cross-functional teams spanning research, engineering, product and program management, and designers. You will also work closely with social sector organizations, and are encouraged to collaborate with researchers across the world.

REQUIREMENTS

We are looking for Researchers with experience applying AI, machine learning and data science to real-world problems. Ideal candidates should have a strong research background and be adept at a variety of data mining/analysis methods and tools, building and implementing models, visualizing data, creating/using algorithms and running simulations. 

visit the link to our careers page for the full job description.
Link: www.wadhwaniai.org/careers
Research Scientist
Upstart
As a Research Scientist, you’ll have ownership across a breadth of data science projects working end-to-end from building proof-of-concepts to productionalizing models. You’ll also have an opportunity to work alongside a talented team that values curiosity, humility, drive and teamwork.

What we’re looking for:

- Strong academic credentials with a M.S. in statistics, mathematics, computer science or a related quantitative field of study with a preference for a PhD
- Comfort with programming (ideally in Python and R)
- Rigorous quantitative background
- Predictive modeling experience is preferred
- Strong sense of intellectual curiosity balanced with humility
- Numerically-savvy with ability to operate at a speedy pace
- Enthusiasm for and alignment with Upstart’s mission and values

What you’ll love:

- Competitive compensation (base + bonus & equity)
- Comprehensive medical, dental, and vision coverage
- Personal development and technology & ergonomic budgets
- Life insurance and disability benefits
Clubs and Activities (game nights, Fitstarters, Superwomen, book club, investing club, money discussions, photography club and basketball teams)
- Generous vacation policy
- 401(k) retirement plan
- Catered lunches + snacks & drinks (when working in office)

Link: https://grnh.se/eff1d1751us
Research Scientist
Upstart
As a Research Scientist, you’ll have ownership across a breadth of data science projects working end-to-end from building proof-of-concepts to productionalizing models. You’ll also have an opportunity to work alongside a talented team that values curiosity, humility, drive and teamwork.

What we’re looking for:

- Strong academic credentials with a M.S. in statistics, mathematics, computer science or a related quantitative field of study with a preference for a PhD
- Comfort with programming (ideally in Python and R)
- Rigorous quantitative background
- Predictive modeling experience is preferred
- Strong sense of intellectual curiosity balanced with humility
- Numerically-savvy with ability to operate at a speedy pace
- Enthusiasm for and alignment with Upstart’s mission and values

What you’ll love:

- Competitive compensation (base + bonus & equity)
- Comprehensive medical, dental, and vision coverage
- Personal development and technology & ergonomic budgets
- Life insurance and disability benefits
Clubs and Activities (game nights, Fitstarters, Superwomen, book club, investing club, money discussions, photography club and basketball teams)
- Generous vacation policy
- 401(k) retirement plan
- Catered lunches + snacks & drinks (when working in office)

Link: https://grnh.se/c28e31551us
Machine Learning Engineer
Upstart
Upstart’s Machine Learning team has a direct impact on our company's success. The team consists of generalist as well as specialist Research Scientists and Data Scientists as well as Machine Learning Engineers.

Because our challenges are so new, members of our data science team need strong creative problem-solving skills and the technical background to implement solutions. Our research environment affords team members the opportunity to utilize a variety of statistical and machine learning methods with the freedom and encouragement to pursue alternative approaches to solving problems. Whether developing new products or identifying novel approaches to core models, we are continuously seeking the next big ideas to move our business forward.

The Role

As a Machine Learning Engineer with Upstart, you'll enjoy a fast-paced environment with a focus on productionalizing, deploying and training machine learning models. You’ll also have an opportunity to work alongside a talented team that values curiosity, humility, drive and teamwork.

What we’re looking for:

* 2+ years of professional experience as a data scientist or software engineer
* Experience productionalizing, deploying, and training machine learning models (we use Python and sklearn, but experience in any language is valuable)
* Interest in helping other data scientists improve code quality in addition to conducting independent analyses
* Experience optimizing models for memory and speed
* Knowledge of machine learning and statistics or a strong desire to learn
* Advanced degree in computer science, mathematics, statistics or related area of study

Link: https://grnh.se/86bed8291us
Machine Learning Engineer
Upstart
Upstart’s Machine Learning team has a direct impact on our company's success. The team consists of generalist as well as specialist Research Scientists and Data Scientists as well as Machine Learning Engineers.

Because our challenges are so new, members of our data science team need strong creative problem-solving skills and the technical background to implement solutions. Our research environment affords team members the opportunity to utilize a variety of statistical and machine learning methods with the freedom and encouragement to pursue alternative approaches to solving problems. Whether developing new products or identifying novel approaches to core models, we are continuously seeking the next big ideas to move our business forward.

The Role

As a Machine Learning Engineer with Upstart, you'll enjoy a fast-paced environment with a focus on productionalizing, deploying and training machine learning models. You’ll also have an opportunity to work alongside a talented team that values curiosity, humility, drive and teamwork.

What we’re looking for:

* 2+ years of professional experience as a data scientist or software engineer
* Experience productionalizing, deploying, and training machine learning models (we use Python and sklearn, but experience in any language is valuable)
* Interest in helping other data scientists improve code quality in addition to conducting independent analyses
* Experience optimizing models for memory and speed
* Knowledge of machine learning and statistics or a strong desire to learn
* Advanced degree in computer science, mathematics, statistics or related area of study

Link: https://grnh.se/88d6a5cf1us
Machine Learning Engineer
Zoho Corporation
Wide variety of AI research ranging from causal analysis to few shot learning
Link: http://ZohoCorp.com
Senior/Junior/Intern Research Engineer
Huawei
Edge AI Group of Huawei Edge Cloud Innovation Lab is looking for talents in the following directions: transfer learning, multitask learning, lifelong learning, non-IID learning, edge AI, etc.

For more information, please go to the website (in Chinese) of Huawei Edge Cloud Innovation Lab: https://www.huaweicloud.com/lab/edgecloud/home.html
Link: https://www.huaweicloud.com/lab/edgecloud/home.html
Senior Software Engineer (Recommendation Engineering, ML) @ Apple
Apple
Description: Build the next-generation of recommendation features for Apple's ground breaking devices and platforms for a product that supports billions of transactions.
- Architect, prototype and collaborate to deliver highly efficient fault tolerant scalable/runtime systems.
- Design and develop run-time services and off-line data pipelines in Java.
- Build off-line pipelines, data analysis and A/B experiment analysis in Map/Reduce, Scoobi and/or Spark.
- Collaborate with the Research team to build, train and ship recommendation models using Machine Learning.
- Design, build and test debugging tools to help visualize recommendation models and analyze software problems.
- Build prototypes, A/B Test pipelines to evaluate algorithm improvements.
- Develop pipelines to process and store big data (both content and user) on Hadoop using Map/Reduce techniques.
- Build compact recommendation model and ship to device to generate on-device recommendation.
- Great team player with the ability to communicate technical concepts effectively to others.
Key Qualifications:
- The candidate will be able to demonstrate a strong practical understanding of how to develop practical, fault-tolerant high-performance distributed systems and data pipelines at scale.
- Applicants will have 3+ years experience in industry or research developing robust, server-side Java, Scala, Python code and will be able to demonstrate creativity, initiative and the ability to work to deadlines.
- Java, Scala or equivalent Object Oriented Languages
- Experience with Map/Reduce, Scoobi, Spark
- Understanding of HTTP and restful API design
- Experience with Machine Learning and Big Data pipelines
- Knowledge on Swift or Objective-C is nice to have
Education & Experience: Master’s degree or foreign equivalent in Computer Science, Information Technology, Software Engineering, or related field and 2 years of experience in the job offered or related occupation.
Point72 Quantitative Research/Dev/Internship Opportunities
Point72
If you have a passion for the markets, or simply enjoy solving complex puzzles through quant research and quant dev, we have opportunities for you! Our Firm values cutting edge research that is actionable, and we empower our teams to deploy their research to receive immediate feedback via the financial markets. If you want to learn more, join us in the Point72 chat room this week, or reach out to our email below.
Link: https://grnh.se/f69972552us
Sr. Applied Scientist-Reconciliation Team
Amazon.com
Interested in leading a new team involving data sciences, algorithm development (machine learning, natural language processing) and an opportunity to impact every Amazon customer?

The newly formed Reconciliation team is responsible for the critical services that assemble the product detail pages on the Amazon website by combining data from sellers, vendors or internal systems, in real-time, millions of times a day. These services, which are a core part of the Amazon's catalog, are being re-built from scratch. The team offers a unique blend of hard machine learning and computer science problems (scalable distributed ML systems and high-performance natural language algorithms ) and an opportunity to help the businesses model their vision on the platform.
Link: https://www.amazon.jobs/en/jobs/984566/senior-applied-scientist
Applied Scientist-Alexa Shopping
Amazon-Alexa Shopping
You: Alexa, I am looking for a new career opportunity, where I could do innovative development in AI and impact millions of customers, what do you suggest?
Alexa: The Alexa Shopping team is looking for Research Engineers to help me become the best personal shopping assistant. Do you want to hear more?
You: Yes, please!
The Alexa Shopping team is looking for Applied Scientists to build the next generation of shopping assistants.
As an applied scientist in Alexa Shopping, you will be responsible for the research, design and development of new natural language, search, and machine learning technologies for voice shopping. You will be working with top scientists and engineers, as well as with product teams and other research partners, both locally and abroad. Your work will combine data mining, systems and software development, exploration of new technologies, as well as publications and presentations at top scientific conferences.
Link: https://www.amazon.jobs/en/jobs/1233997/applied-scientist-alexa-shopping
Sr. Applied Scientist-HRCS
Amazon.com
The Human Resources Central Science Team (HRCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.

We are looking for an outstanding applied scientist who is able to provide structure around complex science and business problems, work with economists and engineers to estimate and validate their models on large scale data, and who can help business and econ partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.
Link: https://www.amazon.jobs/en/jobs/1227043/senior-applied-scientist
Senior or Staff Data Scientist
Grail
GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies. For more information, please visit www.grail.com.
Link: https://grail.com/careers/career-details/?posting_id=3b0dafca-bd22-4804-b3df-eb5327499881
Software Development Engineer, AI Personalization
Zillow Group
The Relevance Science team is seeking a strong technical contributor and product-minded engineer to help shape the future of our personalization systems. This engineer must be passionate about building tools to support the entire life-cycle of the science effort, including enabling large scale offline experimentation, rapid productionalization of model prototypes, and helping the team integrate with and enhance available ML platform and open source tools.
Link: https://zillow.wd5.myworkdayjobs.com/Zillow_Group_External/job/Seattle-WA-2nd-Ave/Software-Development-Engineer--AI-Personalization_P716312
Data Scientist (Junior or Intermediate)
Preteckt
As a data scientist at Preteckt, you will be developing the core algorithms that enable our Subject Matter Experts (vehicle technicians) to predict and diagnose system failures on vehicles with “best in the world” precision. You’ll have access to a huge set (over 250 million miles) of densely-sampled, on-the-road data from cars, trucks, and buses including vehicle sensors, accelerometer, GPS, and repair data. You’ll be responsible for developing predictive models, deploying models to production environments, researching and evaluating the current literature on ML and AI, and much much more. We’re a startup, and that means you’ll have a wide range of responsibilities, significant autonomy on directing projects, and the opportunity to make a big impact.
Link: https://ca.indeed.com/job/data-scientist-junior-or-intermediate-4899c143cfdc7266
Amazon Selection Monitoring Team
Amazon.com
In the Amazon Selection Monitoring team, we want Amazon to have a complete awareness of all products on earth. We aggregate and identify all products along with complete and accurate facts. Our goal is to enrich and increase the coverage of Amazon product selection guided by consumers’ interests. We are establishing the most comprehensive, accurate and fresh universal selection of products.

We have multiple position for applied scientists who are excited to work in big data challenges including; web scale data integration, entity and product matching, improving data quality, natural language processing, discovery of new relationships along with its semantic, knowledge inferencing and enhancement to support strategic and tactical decision-making.

Link: https://www.amazon.jobs/en/jobs/1180420/applied-scientist
Sr. Applied Scientist-Amazon Fashion
Amazon Fashion
Are you passionate about building systems that process massive amounts of data? Are you excited by developing and productionizing machine learning, deep learning and computer vision algorithms? Do you enjoy working with a huge diversity of engineers, machine learning scientists, and user-experience designers? If so, you have found the right match!

The vision for Amazon Fashion is to create services, processes, tools and platforms to support innovative and engaging fashion experiences. The Fashion Science team at Amazon aims to make Amazon the number one online shopping destination for Fashion. We are seeking a Senior Applied Scientist who has a solid background in applied Machine Learning and Computer Vision, deep passion for building data-driven products and has of executing complex projects and deliver solutions that directly impact customers.
Link: https://www.amazon.jobs/en/jobs/973659/sr-applied-scientist-amazon-fashion
Applied Scientist-Economic Technology Team
Amazon.com
The Economic Technology team (ET) is looking for a Senior Applied Scientist to join our team in building Reinforcement Learning solutions at scale. The ET applies Machine Learning, Reinforcement Learning, Causal Inference, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon’s retail business. We also develop Statistical Models and Algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Economists, Engineers, and Scientists incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.
Link: https://www.amazon.jobs/en/jobs/1164426/applied-scientist
Data Science/ML/AI for Social Good Post-Docs and Research Scientist
Carnegie Mellon University
We have several positions for postdocs and research scientists. Our team at Carnegie Mellon University is across the Machine Learning Department and Public Policy focused on using Artificial Intelligence, Machine Learning, and Data Science (and other buzzwords) to have a positive impact on society.

Our interdisciplinary group works in research, practice, and education to improve society and public policy in close collaboration with local, national, and international governments and non-profits.

Our research is aimed at ensuring that AI and ML systems for social good and policy problems achieve the outcomes they were intended for, with a focus on interpretablity/explainability and bias/fairness/equity. We motivate and apply our research to projects in public health, criminal justice, education, workforce development, economic development, and other areas in close collaboration with governments and NGOs.
Link: http://www.rayidghani.com
Sr. Applied Scientist-New Programs
Amazon Fashion
The New Programs Group within Amazon Fashion is looking for Applied Scientist to help redefine and build new, exciting experiences for customers shopping for apparel and related fashion products. We own services that enable personalized customer experiences for our customers while pushing the envelope through novel scientific research, advancing the state of art in the field of Computer Vision and Machine Learning. We’re looking for a thought leader to lead the charge with cutting edge research and application of machine learning to address the unique and ambiguous problems in our space. You will work with talented peers in a team that provides opportunities to innovate in a start-up mode, partner with business teams to deliver customer experiences that disrupt status quo.

The ideal candidate is a strong, creative and highly-motivated Scientist with hands-on experience in leading multiple research and engineering initiatives. You balance technical leadership with strong business judgment to make the right decisions about technology, tools, and methodologies. You excel in translating broader business objective into Machine Learning science formulations, research for potential solutions or invent new solutions for the objective. You strive for simplicity, demonstrate high judgment backed by sound statistical reasoning and robust machine learning models to deliver creative solutions. You do independent research and develop non-trivial Machine Learning solutions. You mentor and lead scientists and engineers, contribute to Amazon's Intellectual Property through patents and/or external publications.
Link: https://www.amazon.jobs/en/jobs/1229642/sr-applied-scientist-new-programs
Sr. Applied Scientist-Marketplace
Amazon Marketplace
At Amazon, a large portion of our business is driven by third-party Sellers who set their own prices. The Pricing team is seeking a Sr. Applied Scientist to use statistical and machine learning techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Marketplace Sellers offer Customers great prices. This role will be a key member of an Advanced Analytics team supporting Pricing related business challenges based in Seattle, WA.

Link: https://www.amazon.jobs/en/jobs/1028662/sr-applied-scientist
Applied Scientist-Amazon Search
Amazon Search
In this role you will be focused on improving the search results for hundreds of millions of Amazon.com customers around the world. Along with your teammates, you will constantly strive to improve search results and relevance ranking across all Amazon categories, as well as blending category results for “all product search”. You will invent universally applicable signals and algorithms for training machine-learned ranking models and improve the machine-learning framework for training and offline evaluation that is used for all new relevance models.

Link: https://www.amazon.jobs/en/jobs/742041/applied-scientist
Machine Learning Researcher/Research Engineer
Huawei Technologies Canada
Noah's Ark Lab in Montreal opens several Machine Learning Researcher/ Research Engineer positions (intern, contractor or full-time) for those who currently enroll in the university, recently graduated or had previous work experience in the field of Machine Learning (ML).

Qualifications:

Master’s or PhD degree in Computer Science, Statistics, Applied Mathematics or a related technical field;

Good understanding of basic ML methods (supervised/unsupervised learning);

Good knowledge of Deep Learning (DL) components (training, regularization, generalization) and familiar with common DL architectures (e.g., CNNs, RNNs, AEs, GANs);

Have publication experience in top AI/ML conferences are preferred (e.g. NeurlPS, ICML, KDD, ICLR and etc.);

Knowledge in graph representation learning models (e.g., Deepwalk, GCNs, and GraphSAGE);

Experience in telecommunication system such as wireless networks is a plus;

Experience in language modeling, knowledge graph or recommender systems is a plus;

Experience in parallel model training is a big plus;

Strong coding skills in Python;

Experience with coding in Tensorflow or Pytorch;

Have good communication skills.

Responsibilities:

Work on innovative ML models with applications on graph-structured data (such as telecommunication networks, recommender systems, and knowledge graph);

Keeping up-to-date on selected areas of ML (such as graph representation learning, recommender systems, and deep learning);

Implement algorithms for proposed models and applications;

Work closely with researchers in the team;

Manage collaboration project with Canadian universities.

Write scientific reports;

Submit manuscripts to top-tier conferences and file high-value patents.
Applied Scientist-Amazon Exports
Amazon Exports
We are looking for a customer obsessed Applied Scientist who can apply the latest research, state of the art algorithms and machine learning to build highly scalable systems in the international e-Commerce space. Right candidate will develop algorithms and models to handle unique cross border shopping problems such as sharper shipping charges, ML driven custom duties, sharper prices, improve selection data quality, improved product discovery or offering scalable, highly localized customer experience to name few.

Does the challenge of AI solving some of the pain points of millions of international shoppers from 100+ countries, in multiple currencies and excite you? Have you ever wanted to work on machine learning problems that will make a lasting impact, solving key problems that impact the experience of millions of Amazon customers? If you are passionate about solving complex problems, in a challenging environment, we would love to talk with you.
Link: https://www.amazon.jobs/en/jobs/1222585/applied-scientist
Sr. Applied Scientist-Digital Content
Amazon Digital Content Team
How can we improve the customer experience by tailoring the information we have to provide a seamless shopping experience? How do we build different models leveraging algorithms that will help us innovate? What is the relationship between what the customer actually thinks vs. what is being suggested vs what they actually end up buying? How can we do all of this without disrupting the customer experience and also understand the customer without asking them? Does that sound fun and interesting? The solution or answers to these questions and others like them are fundamental in helping Digital Content businesses.

Digital Content is a growing multi-disciplinary team addressing everyday customer needs through a combination of software engineering, web development, hardware development, and applied research. Today the online shopper's largest friction is evaluating fit and size, and other details. Our team’s ultimate goal is for customers to easily discover items they will like and to get the right one the first time they look for it.
Link: https://www.amazon.jobs/en/jobs/937593/senior-applied-scientist
Research Intern - Baidu Research, Business Intelligent Lab
Baidu Research
Baidu Research has long been committed to building the world's top research institute. The research intern of Baidu Research - Business Intelligent Lab would engage in research with expertise in:
• Develop and perform cutting-edge research to advance AI state-of-the-art. This includes but not limited to project planning, literature review, and developing proofs-of-concept.
• Design world-leading AI algorithms and models to support the real-world applications in Business Ingelligence, Computational Biology& Drug Discovery, Smart City, Data Mining and Machine Learning.

For internship, must be currently enrolled in a PhD or master program, and/or have developed a strong backgroup (e.g. projects or publish) involving machine learning. Experiences of top-tier academic publications, data mining challenge awards, and ICPC awards are strong plus. Typically, the duration of the internship should be at least 6 months.
Senior Data Scientist
@WALMARTLABS
PhD, MS + 2 years, BS + 4 years of work experience in Computer Science, Machine Learning, Mathematics, Statistics or related fields

Deep knowledge in quantitative analysis and Statistical techniques

Proficient with at least one modern compiled programming language (Java, C++ etc.) and one scripting language (like Python)

Experience with big data technology (Hadoop, Hive, Spark, Hbase, etc.) and data processing pipeline

Excellent problem solving and analytical skills

Solid foundation in data structures and algorithms
Experience in model evaluation and model interpretability
Experience working in optimization, reinforcement learning and/or bandit problems

Strong skills in database systems (mySQL) and complex SQL queries is a plus

Experience using open source frameworks (scikit learn, tensorflow, torch, etc.)

Proficiency in Linux shell script is a plus
Director of Enginnering
Vital Strategies
https://resolvetosavelives.org/about/careers/tech-lead-covid-19
Link: https://resolvetosavelives.org/about/careers/tech-lead-covid-19
Project Manager
Vital Strategies
https://resolvetosavelives.org/about/careers/product-manager-covid-19
Link: https://resolvetosavelives.org/about/careers/product-manager-covid-19
Data Scientist/Senior Data Scientist
The Home Depot
Education Required:
The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.

Years of Relevant Work Experience: 5 years

Physical Requirements:
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Additional Qualifications:
- Strong data mining and machine learning background
- Experience with marketing, and big data environment

Preferred Qualifications:
- PhD in Computer Science, Math or related quantitative field
- Experience with audience-based marketing, personalization, information retrieval, graph analysis, statistical modeling, neural network, and natural language processing
- Experience with large-scale data analysis
- Experience with e-Commerce and analyzing clickstream data
- Experience with big data environment including Spark, Hadoop, Hive, etc.
- Proficiency in at least one statistics/data analysis package, such as Python or R
- Proficiency in at least one programming language, such as Java or Python, etc.
- Solid coding practices including good design documentation, unit testing, and integration testing
- Experience working with real-world noisy data

Knowledge, Skills, Abilities and Competencies:
- Strong communication and data presentation skills; ability to communicate with data-driven stories
- Ability to quickly adapt to new technologies, tools and techniques
- Flexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines
- Ability to work with technical and non-technical team members
Research associate or research fellow (depending on experience)
Mohamed bin Zayed University of Artificial Intelligence
The post-holder will engage in advanced study and academic research, and will contribute to the research, and academic administration of the department. The post-holder will be a full member of the department of machine learning, based in Masdar city, Abu Dhabi, UAE.

The research topics are focusing on large scale optimization for machine learning problems, which could include stochastic optimization, parallel computation and incremental learning. For machine learning problems, kernel methods, deep neural networks, AutoML, and generalized smooth, non-smooth, convex or convex machine learning problems could be involved.

Link: https://sites.google.com/site/jsgubin
Senior/Staff Algorithm Engineer
Alibaba DAMO Academy (Alibaba Group)
Alibaba is one of the largest and most advanced internet, cloud, e-commerce, retail, logistics and technology company in the world. Alibaba DAMO Academy's mission is to build high-impact artificial intelligence technologies that will empower the core business of Alibaba, and create new business opportunities that are otherwise impossible. Temporal machine learning/data mining has a lot of applications in Alibaba’s business, including E-commerce and AIOps in cloud service maintenance and diagnosis. Some challenging problems we are facing include time series anomaly detection, automatic insights discovery from data, and root cause analysis.
Job Descriptions:
1. Develop and implement novel machine learning algorithms and apply them in Alibaba Group's real-world business. You will interact with different teams in Alibaba, and then transform their business problems into well-defined machine learning problems. You will focus on temporal anomaly detection, forecasting, data insights discovery, root cause analysis, and related areas.
2. Build machine learning product and service on large-scale distributed system.
Job Requirement:
1. Familiar with popular machine learning and deep learning algorithms, including GBDT, CNN, LSTM, Transformer, VAE/GAN, DRL, etc. The knowledge and experiences in the field of temporal data mining, including anomaly detection and forecasting, are also required.
2. Candidates who have publications in top machine learning journals and conferences are preferred. Top ranking records in data mining competitions are also preferred.
3. Strong programming skills in at least one of Python, Java, and C++. Knowledge and experiences in large-scale distributed systems are preferred.
4. Have basic knowledge and experience in product design and development.
5. Self-motivated, passionate about modeling and developing novel machine learning algorithms.
6. Excellent communication, relationship skills, and a strong team player.
Research Intern
Alibaba DAMO Academy (Alibaba Group)
Alibaba is one of the largest and most advanced internet, cloud, e-commerce, retail, logistics and technology company in the world. Alibaba DAMO Academy's mission is to build high-impact artificial intelligence technologies that will empower the core business of Alibaba, and create new business opportunities that are otherwise impossible. Temporal machine learning/data mining has a lot of applications in Alibaba’s business, including E-commerce and AIOps in cloud service maintenance and diagnosis. Some challenging problems we are facing include time series anomaly detection, automatic insights discovery from data, and root cause analysis.
Job Descriptions:
Develop and implement novel data mining and machine learning algorithms, and apply them in Alibaba Group's real-world business. Publish papers in top data mining and machine learning journals/conferences.
Job Requirement:
1. Familiar with popular machine learning and deep learning algorithms, including GBDT, CNN, LSTM, Transformer, VAE/GAN, DRL, etc. The knowledge and experiences in the field of temporal data mining, including anomaly detection and forecasting, are also required.
2. At least one paper (as 1st author) published in KDD, NeurIPS, ICML, ICLR, AAAI, ACL, CVPR, etc. (CCF-A).
3. Programming skills in at least one of Python, R, and Java/C++.
4. Self-motivated, passionate about modeling and developing novel data mining and machine learning algorithms.
5. Time: 2020 Fall and/or 2021 Spring. Location: Seattle, Hangzhou, etc.
NLP/Search/Information Retrieval Scientist
Tempus Labs (Healthcare industry)
Passionate about precision medicine and advancing the healthcare industry?

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

The ideal candidate has significant expertise in the Natural Language Processing (Search, Deep Learning, Information Retrieval) and biomedical domain, and is eager to apply his or her skills to improve patient outcomes.

What You Will Do:

• Design and prototype novel Information Retrieval and Deep Learning Natural Language systems.
• End-to-end large scale machine learning model integration.
• Collaborate with product, science, engineering, and business development teams to build the most advanced data solutions in precision medicine.
• Interrogate analytical results for robustness, validity, and out of sample stability.
• Document, summarize, and present your findings to a group of peers and stakeholders.
Link: https://g.co/kgs/qVhQtS
Machine Learning Scientist - Knowledge Graph
Tempus Labs (Healthcare Industry)
Passionate about precision medicine and advancing the healthcare industry? Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

The ideal candidate has significant expertise in the Natural Language Processing (Knowledge Graphs) and biomedical domain, and is eager to apply his or her skills to improve patient outcomes.

What You Will Do:

• Design and prototype novel Knowledge Graph-based and Deep Learning Natural Language systems.
• End-to-end large scale machine learning model integration.
• Collaborate with product, science, engineering, and business development teams to build the most advanced data solutions in precision medicine.
• Interrogate analytical results for robustness, validity, and out of sample stability.
• Document, summarize, and present your findings to a group of peers and stakeholders.
Link: https://g.co/kgs/2LLx8N
Senior Machine Learning Engineer - Bloomberg Law
Bloomberg LP
The Bloomberg Law Machine Learning Team are Researchers and Engineers who have a passion for solving complex problems in the legal domain. As a member of our team, you will focus on leveraging Artificial Intelligence (AI) technologies to build workflow solutions aimed at making attorneys more efficient in completing their everyday legal tasks. We use Information Extraction, Natural Language Processing (NLP) and Machine Learning (ML) techniques such as named entity disambiguation, text classification, clustering and topical modeling to extract and identify relevant, meaningful and actionable information (such as case outcomes, legal entities, document structure, legal principles, legal topics) from legal data. We work closely with product managers, software engineers and legal domain experts using agile development.

We’ll trust you to:
* Lead all phases of machine learning model development life cycles from data gathering to productionizing models, optimizing model performance and monitoring
* Design, write, test and maintain modular production-quality code
* Partner with engineers and legal domain experts to design, experiment and evaluate Machine learning models for new ideas

You'll need to have:
* 3+ years of experience in Artificial Intelligence (AI), Natural language Processing (NLP), Machine Learning (ML), Statistical Models, and Text Analytics on large data sets
* 3+ year of experience programming in Python, Java or C++
* Experience in all phases of machine learning application life cycles from data gathering and preparation to optimizing model performance
* BA, BS, MS, PhD in Computer Science, Data Science or related technology field

We'd love to see:
* Publications or presentations in relevant communities (such as ACL, AAAI, SIGIR, KDD, EMNLP, ICML, NeurIPS or equivalent)
* Experience with distributed computational frameworks (YARN, Spark, Hadoop, Kubernetes, Docker)
* Legal domain experience
Link: https://careers.bloomberg.com/job/detail/83974
Machine Learning Engineer
Etsy
Etsy is hiring a Senior Machine Learning Engineer to join our Ads Optimization team. This opportunity is excellent for someone who is interested in applying machine learning to tackle user-facing problems. The primary goal of the team is to improve the relevance of Etsy’s on-site ads and to price the ads in a way that improves seller return. Much of this work relies on improving the accuracy of machine learning models that power our click-through-rate prediction and bidding systems.
Link: https://www.etsy.com/careers/job/743999712292096
Data Scientist
H&R Block
What you'll do...
At H&R Block, your contributions will go far beyond any job description. When you join our team, you'll add to the momentum of forward-thinking company - one that defined an industry and is now leading it's transformation. As a Data Scientist you will design, and develop methods and systems to generate actionable insights and solutions for our clients​.
 

Fluent in Python or R 

Experience using big data/ML frameworks and a variety of machine learning techniques

Able to develop custom data models and algorithms to fit novel needs

Ability to reframe business requests to fit the unasked need

What you'll bring to the team...

Bachelor’s degree in a related field or the equivalent through a combination of education and related work experience.

Intermediate (practical application) Decision Trees

Advanced (applied theory) Understanding of experimental design

Intermediate (practical application) Can execute unsupervised learning and data reduction with supervision (e.g. K-means, Principal Component Analysis (PCA), Factor Analysis)

Intermediate (practical application) Linear Regression

Intermediate (practical application) Univariate and multivariate testing

Intermediate (practical application) Relational Database Management System (RDBMS)

Intermediate (practical application) Python or R

Advanced (applied theory) Spreadsheet tools (e.g. Excel)

Advanced (applied theory) Experience using SQL in a business environment
Link: https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25515&siteid=5710#jobDetails=3055903_5710
Senior Machine Learning Scientist
H&R Block
What you'll do...
At H&R Block, your contributions will go far beyond any job description. When you join our team, you'll add to the momentum of forward-thinking company - one that defined an industry and is now leading it's transformation.

Senior Data Scientist: Coordinates assigned research projects.  Designs, develops, and implements methods and systems to generate actionable insights and solutions for our clients. Interacts with product and service teams to identify questions and approaches for data analysis and experiments. Develops and codes algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple sources. Identifies meaningful insights from “big data” sources. Assists in the coordination of various research initiatives.  Serves as an internal consultant in identifying opportunities to improve decision making through the application of analytical concepts and techniques.
 

Consults with internal clients to understand proposed programs.  Conducts appropriate analyses to estimate program impacts.

Design, develop, implement, and continuously improve various production models

Identifies needs for future analysis and modeling support.  Anticipates data requirements and ensures required data is available to support current and future modeling efforts

Applies appropriate techniques to develop models that support marketing and operations efforts as well as improved customer experiences

Selects and implements appropriate  algorithms.  Tracks model performance.
Other duties as assigned.
Link: https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25515&siteid=5710#jobDetails=3039916_5710
Data Engineer
H&R Block
Day to day, you'll...
Design and deploy architecture, solutions, and software to capture, manage, store, and use structured and unstructured data from internal and external sources in both on-prem and cloud environments.

Deploy machine-learning models and other data-science products across the enterprise.

Navigate the balance between business needs, data governance best practices, and technical requirements.

Select or develop tools to cleanse, organize, and transform data and to maintain, defend, and update data structures and integrity on an automated basis.

Develop data products to facilitate self-service capabilities and assist the data teams to increase their efficiency and effectiveness.

Collaborate and communicate effectively within cross-functional teams that span internal Data Science & Analytics teams, IT, business groups, and executive stakeholders.

Be a positive force to cultivate a culture that is passionate about developing data tools as a business driver.
Link: https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25515&siteid=5710#jobDetails=3039034_5710
Senior/Staff Data Scientist
Careem
Careem is hiring an experienced Data Scientist or Applied ML Scientist. Careem is the leading startup in the middle east, providing ride hailing, delivery, and payment services across 100+ cities from Morocco to Pakistan, and it joined forces with Uber in early 2020. In this role you will be responsibe for developing cutting edge ML/AI models and deploying them in production to build the best food/grocery/anything delivery service in the region. You will also contribute your expertise and leadership skills to build the best Data & AI organization in the region. The role is based in Dubai UAE, but it should be possible to start remotely.
Link: https://boards.greenhouse.io/careem/jobs/4839974002
Director of Engineering, Etsy Ads
Etsy
Etsy is seeking a Director of Engineering to lead the engineering team for Etsy Ads, our onsite ad platform, which is used by our largest sellers to grow their businesses and currently produces over $175M in annual revenue. You will collaborate with our Ads product development team and engineering leadership to grow the platform and ensure that advertising on Etsy continues to be a great investment for our sellers. The work on the Ads team includes ad presentation on the top pages of Etsy.com, scaling and maintaining the backend systems we use to track ad impressions and clicks, creating trustworthy tooling and reporting for sellers, and iterating on the machine learning systems we use for bidding and ad ranking.
Link: https://www.etsy.com/careers/job/743999714514760
Data Scientist (All levels)
Fiddler Labs
**Our Story:**
We created Fiddler because we understand the implications of AI, and the potential danger of not having visibility into how it affects the real world. We believe there is a need for a new kind of AI platform, that is highly transparent, trustable and operational.

**What you'll do:**
* Own the data science, including building machine learning models to developing interpretable model tools to be used in Fiddler's product
* Drive research on new explainability and monitoring techniques, for internal and external stakeholders, and for inclusion into our platform
* Enable customers to solve complex problems using Fiddler’s product - including problem framing, model building, model import, running explanations etc.
* Act as a trusted advisor to the leadership on industry trends in data science and explainable AI.
* Help drive the product direction, in collaboration with designers, engineers, and product managers including, iterating on existing features, and prioritizing the product roadmap
* Speak at industry conferences on behalf of Fiddler, and help create strong technical content and thought leadership
* Provide training, mentoring and guidance to other data scientists and data science interns

**What we're looking for:**

* MS/Ph.D. in Computer Science (AI/ML specialization), Statistics, Mathematics, or equivalent
* Real-world experience in a data science role, building Machine Learning models preferred
* Strong coding skills, preferably in Python
* Experience with large-scale industrial applications of machine learning in domains like Computer Vision, NLP and/or Speech-to-Text, a plus
* Excellent organizational, communication, writing and interpersonal skills
* Curiosity, ownership, empathy towards customers, willingness to learn new things and desire to inspire others are values we care

*Fiddler Labs is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees*
Link: https://www.fiddler.ai/
ML Engineer
Fiddler Labs
**Our Story**
We created Fiddler because we understand the implications of AI, and the potential danger of not having visibility into how it affects the real world. We believe there is a need for a new kind of AI platform, that is highly transparent, trustable and operational.

**What you'll do:**
* Design and build a world-class Cloud Platform to help ML engineers and Data Scientists build and deploy Deep Learning Models with high productivity and velocity
* Build a modern runtime stack for Deep Learning supporting formats like Tensorflow, ONNX, PyTorch etc.
* Develop cluster automation to manage a fleet of TensorFlow workers via Kubernetes
* Work with Customer Data Scientists to understand their requirements and design and build a world-class ML Platform to improve their productivity and velocity
* Recommend adjustments to resolve software issues, improve the functionality of existing software, and ensure that the design, application, and maintenance of software meets quality standards
* Continuously look for ways to improve service performance and incorporate user feedback to design and build a better product.
* Provide training, mentoring, and guidance to other engineers and engineering interns

**What we're looking for:**

* BS/MS/PhD in Computer Science or equivalent
* Proficiency with programming languages (Python, Java)
* Expertise in working with at least one deep learning framework,such as PyTorch, Torch, TensorFlow, Caffe
* A track record for delivering Machine Learning projects for a product
* Knowledge of infrastructure management (AWS / Google Cloud, Kubernetes, or equivalent on-premises technologies)
* Curiosity, ownership, empathy towards customers, willingness to learn new things and desire to inspire others are values we care

*Fiddler Labs is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees*
Link: https://www.fiddler.ai/
Manager, Software Engineering - Ad Tech
Indeed, Inc.
As Software Engineering Manager you will use your expertise in building scalable systems for the digital advertising ecosystem, such as targeting, serving, optimization, data pipelines etc. Lead the technical design and implementation of strategic development with hands-on coding, assuring the best engineering practices

- Experiment and build ad systems that help employers find the best candidates and help job seekers find their dream jobs.

- Build machine learning models to solve forecasting, budgeting, bid optimization and ranking issues.

- Help scale a data infrastructure for our massive sets of data to enable millions of database lookups.

- Manage and improve the pipeline for real-time processing of enormous amounts of user behavioral data.

- Have ownership over the things you build, help shape the product and technical vision, direction, and how we iterate.


Link: https://www.indeed.jobs/career/JobDetail/Manager-Software-Engineering-Ad-Tech/23284
Senior Software Engineer
Indeed, Inc.
The SMB Ads Optimization team's primary objective is to help people get jobs. To achieve this, we build systems to decide when and where to spend an employer's budget to maximize the probability of hire. We do this by owning and operating bids for SMB ad campaigns. You will directly influence Indeed's ads platform's future, and you will be responsible for optimizing and running experiments in Indeed's marketplace of employers and job seekers.

We're looking for someone who
- Experience in big data and applied machine learning, preferably in digital advertising.
- Experience in ranking systems, recommendation systems, pricing and revenue management platforms, or other machine learning-based software platforms is a plus.
- Experience in making data-driven decisions for improving products.
- Passionate about using big data and machine learning technologies to solve challenging problems in advertising.
- Passionate about your work and the problems you solve.
- Passion for collaboration and making others around you successful.
- Has a strong sense of ownership in everything you build.
- BS in Computer Science or related area or relevant work experience.
- 5+ years of experience in software development.
Link: https://bit.ly/37Y8z9c
Staff Software Engineer
Indeed, Inc.
The SMB Ads Optimization team's primary objective is to help people get jobs. To achieve this, we build systems to decide when and where to spend an employer's budget to maximize the probability of hire. We do this by owning and operating bids for SMB ad campaigns. You will directly influence Indeed's ads platform's future, and you will be responsible for optimizing and running experiments in Indeed's marketplace of employers and job seekers.

We're looking for someone who
- Deep expertise in big data and applied machine learning, preferably in digital advertising, auctions, or bidding systems.
- Experience in ranking systems, recommendation systems, pricing and revenue management platforms, or other machine learning-based software platforms is a plus.
- Experience running controlled online experiments and taking data-driven decisions for improving machine learning-based products.
- Passionate about using big data and machine learning technologies to solve challenging problems in advertising.
- Passionate about your work and the problems you solve.
- Passion for collaboration and making others around you successful.
- Has a strong sense of ownership in everything you build.
- BS in Computer Science or related area, or relevant work experience.
- 7+ years of experience in software development.
Link: https://bit.ly/3mQbMMr
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