Data Scientist - CO-OP (Starting in January 2022)
D2L
[Please apply at the provided link]
As a Machine Learning/Data Analyst Co-op at D2L, you’ll join a cross functional team focused on machine learning research and development. You’ll help identify opportunities for exploration to leverage machine learning to improve learner success. You’ll bring analytic and empirical rigor to the product team and perform research and development on a solution strategy that directly contributes to our organization’s success in the learning market.
At D2L, you’ll have the opportunity to work with the latest machine learning technologies and frameworks, such as Jupyter Notebooks, AWS SageMaker, Pandas, NumPy, scikit-learn, Seaborn and others. You’ll have knowledge of data science languages like Python and R, and an understanding of how best to apply different machine learning algorithms and frameworks depending on the problems being solved. Ultimately, we strive to use the most appropriate tools to achieve our goal of changing the way the world learns.
Link:
https://www.d2l.com/careers/jobs/data-scientist-winter-2022-co-op/3627701/
ML Engineer
Voiceflow
About the role
How can we use Machine Learning to improve the UX of building conversational experiences?
That's the question we'd like your help to answer at Voiceflow. We currently have 60,000+ teams using the platform along with numerous enterprises and are focused on improving their experiences in building voice and chat apps.
We're looking for an ML Engineer to help build the platform and models that power these user experiences. This is a unique opportunity to be an early member of a scaling ML team and have ownership of large projects.
You'll work with our ML Lead to research, build and deploy models to our real time ML platform. You'll also contribute to the underlying platform to scale it for dozens of models and a large volume of requests.
What we currently have
V1 of a ML Platform that can deploy models end to end in 5 min
A comprehensive ML CLI that can handle versioning, model promotions and the creation of isolated ML Environments
Five models exiting R&D stages and Two models in Customer Validation Testing
Comprehensive ML Strategy
Great engineering team
What you'll do
Productionalize existing and new models
Increase performance ands scale of the ML platform
Research and prototype new ML Models
Take ownership of new initiatives from requirements gathering to updates and iterations
Making customers excited about Voiceflow ML
What you'll bring
You have strong experience in one of the following areas, and familiarity with the other two:
Data Science (NLP or Recommender Systems)
Data Engineering
Cloud Engineering
2+ years development experience
You are excited about working on interesting problems
You take initiative to build better products
Strong research (googling) skills
Nice to have:
Experience with Real Time Systems
Experience with Terraform and GCP
Familiarity with the Alexa Skills Kit/Google Actions Console or Chatbots and IVR systems
Strong Understanding of NLU/NLP models
Link:
https://voiceflow.breezy.hr/p/f95d6d7c561a01-ml-engineer
Remote Data Science Analyst
Yelp
We’re looking for a self-motivated critical thinker whose intellectual curiosity is met with a healthy dose of skepticism. You’ll work with our team of data scientists and analysts. You value the integrity of your work, sanity check analyses before drawing conclusions, and take pride in telling stories with data. You are a team player who is an excellent communicator, quick learner, and as excited about Yelp as we are.
Where You Come In:
Lead broad analytics projects core to Yelp’s business, communicate key insights to decision makers, and help product leaders uncover new opportunities.
Manage tight deadlines and quickly iterate analyses to answer unstructured business questions, deliver actionable learnings, and make strategic recommendations.
Work cross-functionally with product and engineering to define, log, and track Yelp’s key product metrics and opportunity size new initiatives.
Generate dashboards and automate reports that empower teams across the organization to make data-driven decisions.
Grow and maintain impactful relationships with stakeholders of both technical and non technical backgrounds with clear and frequent communication.
Think critically about experimental design and advocate for thoughtful experimentation.
What It Takes to Succeed:
BA/BS or graduate degree in a quantitative field (mathematics, statistics, economics etc.)
Ideally 3+ years of quantitative industry experience, ideally within the consumer product space
Excellent SQL skills, fluency in Python, and experience with at least one statistical package (R, Pandas/NumPy/SciPy/matplotlib, Stata, Matlab).
An eye for compelling data visualization and extensive experience with related tools (Tableau, Mode, Looker).
Solid understanding of statistical inference, experimental design and analytic bias. Familiarity with financial modeling and advanced statistics (regression, non parametrics, predictive modeling) a plus.
Link:
https://jobs.lever.co/yelp?lever-via=DyWUojHJgO
Multiple Engineering, Data Analyst, and QE roles
Ada Health
Ada Health is looking to expand our team in Toronto, Canada.
At Ada, we envision a world where everyone has access to the healthcare they need. In one of the biggest challenges facing the world, we pioneered a new form of artificial intelligence, combining medical knowledge with intelligent technology to empower millions of people to better understand their health. We’re proud to support medical doctors and work with leading health systems and global non-profit organizations. We’re a diversely skilled team representing 50 nationalities, and we’re growing rapidly to achieve our global ambitions for the future of health. This is just the beginning.
Link:
https://www.linkedin.com/posts/ryan-fung_7-ada-health-jobs-in-canada-6-new-activity-6864214622786994176-qp9z
Machine Learning Developer
Kinaxis
All aspects of the software development life cycle are familiar to you. You are passionate about shipping large-scale software systems in a fast-paced environment but are able to balance longer term issues such as maintainability, scalability and quality. You have a strong interest and experience in machine learning having worked with machine learning and data analysis libraries such as pandas, scikit-Learn, XGBoost, lightGBM and Tensorflow.
You treat data as a first class citizen whether that the data comes from a data warehouse, object storage or output of a model. You’re fluent in Python and SQL and have hands-on experience with big data. You love learning about new technologies whether they be in the ML or data space but are pragmatic and discerning about which technologies you adopt in your system.
As an excellent communicator, you’ll work with other like-minded individuals to come up with creative solutions to our retail and data science problems interfacing with all aspects of the company from product to data science to engineering.
What we are looking for
Bachelor’s degree or equivalent in Computer Science or a related field with focus in machine learning.
Strong software engineering skills and understanding of the ML lifecycle with a minimum of 2 year experience in software development.
Proficiency in Python.
Fluent in processing data with pandas (e.g. querying, transforming, joining, cleaning, etc.) including experience debugging logic.
Strong understanding of machine learning algorithms.
Ability to work in Linux environments with containerization technologies (e.g. Docker) in the cloud.
Things that would help
Retail business background.
Machine learning dev-ops experience with major cloud providers (e.g. Kubernetes, Terraform).
Shipping ML solutions and supporting them in production
Working experience with Pyspark
Link:
https://boards.greenhouse.io/kinaxis/jobs/5655662002?gh_jid=5655662002
Data Science Project/Program Manager
TELUS
We are looking for an experienced data science PM to join us to manage our data connect projects end-to-end.
Required qualifications:
-Highly passionate about data and analytics
- At least 3-5 years of PM experience on data announce and AI projects or similar technology areas
- Very good knowledge of data ingestion and high level understanding of business value creation using ML/AI
- Excellent communication skills
- Well versed with Agile -
- Min 2 years experience with Jira Cloud
Link:
None
Applied Machine Learning Specialist (ML Systems)
Vector Institute
KEY RESPONSIBILITIES
Research and implement state of the art machine learning techniques to solve real world problems;
Work in collaboration with Researchers, Machine learning specialists, Vector team members and Vector affiliates to build demos, minimum viable products (MVP) and prototypes;
Provide advice regarding building machine learning applications and ML product roadmaps
Provide oversight for Vector-led or co-led efforts to prepare and open source specific datasets for machine learning research;
Serve as the an AI Engineering team representative to research computing and HPC team;
Serve as an expert and facilitate identification of experts among the Vector research community for external stakeholders (e.g., health and other sectors) to advise on machine learning research trends and applications; and,
Other related duties as assigned.
Link:
https://vectorinstitute.bamboohr.com/jobs/view.php?id=144
Applied Machine Learning Specialist
Vector Institute
KEY RESPONSIBILITIES
Work on AI software development projects following an agile methodology with teams that can include Vector AI software developers, professional staff, researchers, and industry sponsors;
Design and develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;
Design and develop open source software for applying AI research techniques to common problems;
Mentor industry sponsors on industry projects that apply AI research to shared problems, mentoring on engineering best practices, and assisting with operational issues;
Mentor researchers on software engineering best practices;
Develop prototypes and proofs of concept; and,
Report and present on software development including status and results.
Link:
https://vectorinstitute.bamboohr.com/jobs/view.php?id=143
Applied Machine Learning Specialist (ML Operations)
Vector Institute
As an Applied ML Specialist with Machine Learning Operations (MLOps) expertise, you will contribute to developing reusable machine learning (ML) systems and software to apply and scale research breakthroughs in ML and artificial intelligence (AI). You will collaborate with some of the best and brightest ML engineers and scientists at Vector and leading industry and healthcare organizations. You will collaborate with some of the best and brightest ML researchers.
KEY RESPONSIBILITIES
Design and develop reproducible ML pipelines and scalable ML systems;
Deliver software and models for ML development projects following an agile methodology with teams that can include Vector Applied ML Specialists, Applied ML Scientists, professional staff, researchers, students, and sponsors;
Design and implement reference architectures for ML systems for training as well serving workloads that apply ML research to real-world problems using public and private datasets;
Design, develop and contribute to open-source software that applies ML research techniques to common problems;
Research and extend open source MLOps tools and frameworks that address the full life cycle of end-to-end machine learning systems;
Mentor sponsor engineers and student researchers on industry collaboration projects that apply ML research to shared problems, mentoring on engineering best practices, and assisting with operational issues;
Develop prototypes and proofs of concept;
Report and present MLOps best practices and outcomes for team efforts including demos, status, and results; and,
Other duties as assigned.
Link:
https://vectorinstitute.bamboohr.com/jobs/view.php?id=152
Applied Machine Learning Scientist, NLP
Vector Institute
As an Applied ML Scientist, NLP, you will provide technical leadership and contribute to applied research and its applications to solve real-world problems in the domain of Natural Language Processing. You will provide guidance and have an opportunity to work with the best and brightest scientists and machine learning experts. You will collaborate with some of the leading machine learning researchers, data scientists and specialists to build NLP services and open-source software.
Publishing research papers on applied research is a part of this role but the focus is on the impact of the applications, not on the quantity or quality of publications. We are seeking a Scientist with research experience in Natural Language Processing using deep learning, machine learning, and graph-based methods.
Link:
https://vectorinstitute.bamboohr.com/jobs/view.php?id=153
Machine Learning Engineer
Alberta Machine Intelligence Institute (Amii)
The Machine Learning Engineer uses their applied industry experience in deployment and operationalization of ML solutions in production environments to direct the research and development efforts of Amii Industry Partners and Clients. They bridge the gap between business opportunities and applied ML methods to provide direction and oversight on technical projects. They advise clients along the entire machine learning journey from scoping to model deployment and productionization. This includes making informed decisions about what the data requirements are, what modelling techniques should be tested, how solutions should be deployed and monitored, and how success will be evaluated.
In addition to providing guidance to industry partners, the MLE will support fundamental research through partnerships with Amii Fellows and their students, working with one of the best ML departments in the world.
Qualifications
* Degree in Computer Science or related field with equivalent experience in Data Science
* 2 or more years of experience developing machine learning models in an applied setting.
* Must have 2 or more years experience deploying machine learning models with production-quality code in industry
* Extensive experience with ML frameworks, platforms and tools, and expert knowledge with at least one tool stack
* Experience and comfort with DevOps and tools such as cloud platforms, containerization, CI/CD, etc
* Proficient in at least one programming language eg: Python, Java, C++ or R
* Familiarity with at least two of: Tensorflow, Keras, PyTorch and Sklearn
* Ability to communicate on technical topics with a non-technical audience
* General understanding of the strengths and weaknesses of a range of ML techniques across supervised learning, unsupervised learning, and reinforcement learning
* Up-to-date knowledge and strong engineering and analytical skills
* Industry experience in agriculture, health, or energy a plus
Link:
https://www.amii.ca/
Latin American Community Leader - Events Team
Toronto Machine Learning Society (TMLS)
Hello, in 2022 we've planned an ML/AI event for LatAM. If you'd like to help us organize, and work with local partners to plan and put on the event - please let us know!
Link:
http://www.torontomachinelearning.com
Senior ML Developer
AltaML
As a Senior Machine Learning Developer and a member of the Data Science team, you make sure we deliver value to customers through developing high quality AI/ML solutions to their business problems. Your primary responsibilities are to work as a senior resource in projects and you may be asked to play the technical lead role in AI/ML projects. You will play a hands-on role in solving problems utilizing Data Mining and Machine Learning techniques. You will work with multiple tools and gain experience in multiple AI/ML and data processing fields. You will ensure that ML developers follow our rigorous ML development processes and will work on improving our processes. You will be given resources and mentorship to help with your growth and career advancement. You will mentor less senior resources. This is a technical hands-on lead position and you will not be expected to perform people management (i.e. it is not expected that you will have direct reports).
What You'll Do:
Hands-on technical leadership on projects
Drive work toward client deliverables in alignment with business goals
Support Project Delivery Managers in delivering projects at high quality, on time and on budget
Regular interactions with customers to understand requirement, data and validate assumptions and to learn domain/business specific knowledge
Motivate team when performing a technical lead role
Lead ideation and solution design sessions
Ensure high collaboration between team members
Help with documenting uncertainties for relevant government incentives/programs (SR&ED)
Align projects with organizational goals
Assess soundness of technical approaches discussed in a project
Perform the role of ML Developer on a project
Ensure high quality of deliverables
Review the work from the context of responsible AI best practices
Approval of Pull Requests, code reviews, rigorous testing, adherence to development standards
Hold team accountable to our QA guidelines, when performing the technical lead role
Link:
https://jobs.lever.co/altaml/6a5b1f8e-f2f6-46a2-9ad4-23846f2d3d36
Manager, Data Science
AltaML
As a Manager, Data Science and a member of the Data Science team, you play an important role in making sure our team grows their skillset and that we advance ML projects and deliver value to customers through developing AI/ML based solutions to their business problems.
As a people manager, you will manage your direct reports and coach them as they advance their career.
As a technical leader in projects, you will lead teams to develop AI/ML solutions utilizing Data Mining and Machine Learning techniques. You will work with multiple tools and gain experience in many AI/ML and data processing fields. You will ensure that ML developers follow our rigorous ML development processes and will work on improving them. You will also be accountable for the quality of assurance processes in the projects you lead. You will be given resources and mentorship to help with your growth and career advancement.
What you'll do as a Data Science People Manager:
Lead the development and performance of your direct reports
Plan career growth for your reports
Provide feedback based on observations
Have 1:1s regularly with your direct reports
Have quarterly coaching conversations with direct reports
Onboard new team members
Foresee and resolve problems that arise between team members
Promote company’s culture to your team
Ensure good communication with other teams and with all stakeholders on the projects that your team works on
Hands-on and/or hands-off technical leadership on projects
May play a role of senior ML Developer on a project
Mentor less senior employees, as required
Improvement of internal processes and standards
Actively improve existing processes and propose new processes as gaps are identified
Link:
https://jobs.lever.co/altaml/d6734a05-02a6-4162-bdea-927a9d93c2cd
MLOps Engineer
AltaML
MLOps Background
Candidates for this role should have strong experience in back-end development, DevOps and MLOps. They should have experience with model deployment, building and maintaining ML pipelines, ideally using Docker + Kubernetes on GCP, Azure ML, AWS SageMaker, and/or Databricks.
What you’ll do:
Implement our internal methodology and architecture for ML model deployment through all stages of the ML life cycle.
Bring expert-level knowledge and guidance to team members relating to ML Ops technology, tools, and best practices
Consult and advise our clients to assist in operationalizing AI/ML solutions.
Monitor ML Ops environments, including cloud components for major hyperscalers such as Azure ML and AWS SageMaker
Provide expertise, support and POC’s with various ML Ops infrastructure components.
Assist in the productionalization of ML solutions for both internal and external client teams.
What you bring:
Hands-on experience building and deploying ML models to production with at least one of the major hyperscalers, preferably Azure and/or AWS
Experience in managing ML solutions deployed to production
Strong understanding of ML Ops architecture building blocks, such as Feature Stores and Data pipelines
Working knowledge of containerization, and Kubernetes is an asset
Working knowledge of building, automating, and deploying data analytics and Machine Learning (ML) pipelines is an asset
Experience dealing with internal and external stakeholders is an asset
Relevant certifications in Azure ML, AWS SageMaker, Databricks and/or GCP are an asset
Link:
https://jobs.lever.co/altaml/6e068615-2665-4852-977e-cdde64d86fce
Senior ML Developer
AlphaLayer
he AlphaLayer team at AltaML is looking for a highly motivated Senior Machine Learning Developer to help in the building, execution, and delivery of transformative products. We are focused on building Artificial Intelligence(AI)/Machine Learning (ML) solutions within the investment management space, including both front and back-office operations.
So if you have a passion for time series related ML analytics and have an interest in both Finance and ML, this is the rare opportunity to join a team on a mission to lead innovation and value-creation within the investment management industry.
About our Company:
Our work through AlphaLayer is specifically focused on deepening a strong partnership with AIMCo - we are helping our partner gain a competitive advantage by combining their data and domain expertise with our expertise in ML. We are focused on building ML solutions within the investment management space including both front and back-office operations.
Data informs our every move, and we aim to work quickly, collaboratively, and creatively.
Job Role
As Senior Machine Learning Developer you play a crucial role in making sure we advance ML projects and deliver value to customers. Your primary responsibility is to solve problems utilizing Data Mining and Machine Learning techniques and to provide your ML/technical expertise to the rest of the team. You will work with multiple tools and gain experience in multiple AI/ML and data processing fields. You will be given resources and mentorship to help with your growth and career advancement.
Responsibilities:
Participate in team planning sessions
Participate in infrequent technical meetings with customers
Complete well defined and exploratory tasks under minimal supervision
Help with defining a problem that needs to be solved
Suggest and explore novel solutions to a problem
Provide mentorship to our Data Science team
Shape the Data Science architecture and make technical decisions
Link:
https://jobs.lever.co/altaml/79331a67-2f99-468b-bad0-c9556a01a837
Senior Quant Researcher
AlphaLayer
The AlphaLayer team is looking for a highly motivated Senior Quant Researcher to help in the building, execution, and delivery of transformative products. We are focused on building Artificial Intelligence(AI)/Machine Learning (ML) solutions within the investment management space, including both front and back-office operations.
So if you have passion and experience in Quantitative Research, this is the rare opportunity to join a team on a mission to lead innovation and value-creation within the investment management industry.
About our Company:
Our work through AlphaLayer is specifically focused on deepening a strong partnership with AIMCo - we are helping our partner gain a competitive advantage by combining their data and domain expertise with our expertise in ML. We are focused on building ML solutions within the investment management space including both front and back-office operations.
Data informs our every move, and we aim to work quickly, collaboratively, and creatively.
Technical Skills:
Understanding of classical Machine learning models extremely well and also has some knowledge of deep learning models
Solid foundation in statistical estimation theory and probability theory
Understanding the need for efficient algorithm design
Writing code consistent with object oriented programming methodologies
Some familiarity with multivariate optimization methods
Some familiarity with monte-carlo simulation methods
Financial Market Knowledge:
Above average level knowledge of various financial markets, as well as the theory surrounding them
Collaboration & Interpersonal SKills:
You take initiative on collaborating actively with others on projects
You are often giving their opinions and attending meetings with others, in order to help collaborate
You are able to clearly and articulately communicate with clients who may be specialized in a particular financial investment discipline
You listen to other opinions and provide constructive feedback to other coworkers
Link:
https://jobs.lever.co/altaml/3933e6cf-176e-444e-91c7-ee4510cf4e68
Developer Relations Manager
Pachyderm
Pachyderm is looking for a Developer Relations Manager (see also Sr. Developer Advocate) to be the face of Pachyderm to our community and users. You’ll work across marketing, content, evangelism, and product teams to write new content and engage with users and prospects online. You’ll establish strong relationships with data scientists and ML Engineers around the world in a scalable way, by crafting great resources to help them build with Pachyderm, including open source demos, code samples, documentation, how-to guides, blog posts, and demo hours. You’ll foster developer communities, championing their interests and translating their feedback into actionable product insights.
Link:
https://boards.greenhouse.io/pachyderm/jobs/4800134003
Analyst - Data & Analytics
WestJet
Reporting to the Manager Revenue Intelligence & Analytics, you will help build a grassroots analytics function to propel WestJet to a new level of competitiveness. You will actively participate in the conceptualization, development, integration, and troubleshooting of new and existing analyses, tools, and reports - ensuring these solutions land with both Executive audiences and front-line Revenue Management Analysts. You are an integral part of the growth in our airline as you ensure a consistent understanding, communication of, and approach to, meeting strategic goals.
More details in job posting link!
Link:
https://www.linkedin.com/jobs/view/2787241663
Data Consultant
Validere
- Interact with clients and internal stakeholders to uncover new analytics use cases and drive data strategy
- Define the data driven implementation of solutions to client problems
- Organize and structure high level ideas and concepts with lots of uncertainty into value and monetization strategies
- Build visualization tools to explain insights to the stakeholders (clients, traders, and executives)
Link:
https://jobs.lever.co/validere/7dd7460d-815c-460c-8d66-e68cf7871f74
Machine Learning Engineer, Shopping Content Mining
Pinterest
What you’ll do:
As a ML engineer, you will design and build large scale ML systems that can process billions of products
ML models for wrapper induction that require few training examples, NLP models for understanding free-texts
Drive cross functional collaborations with partner teams working on shopping
What we’re looking for:
3+ years of industry experience
Hands-on experience on large scale machine learning systems (full ML stack from modelling to deployment at scale.)
Hands-on experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
Nice to have: PhD in Machine Learning or related areas, publication on top ML conferences, Familiarity with information extraction techniques for web-pages and free-texts, Experience working with shopping data is a plus
Link:
https://www.pinterestcareers.com/job/12630423/machine-learning-engineer-shopping-content-mining-toronto-ca/
Machine Learning Engineer, Shopping Discovery
Pinterest
What is this team about?
Shopping is at the core of Pinterest’s mission to help people create a life they love. Pinterest has the unique advantage to build the world’s most inspirational, visual and personalized shopping experience for its 450M+ users worldwide. The shopping discovery team is in charge of helping Pinners to discover the most relevant products that they will love. The team works on shopping content recommendations and distribution on various surfaces e.g. product detail page, search, home feed, board etc.
As an engineer of the team you will be working on the most cutting edge ML technologies in the area of recommender systems, embedding based candidate retrieval, personalization, whole page optimization, bandit algorithms, reinforcement learning etc. You’ll be running experiments and directly improving the shopping metrics contributing to the bottom line of the company. If you are excited about large scale machine learning problems in the area of recommendation, search and whole page optimization then you must consider this role.
What will this person do?
Develop large scale shopping recommendation algorithms
Build data pipelines to do data analysis and collect training data
Train deep learning models to improve quality and engagement of shopping recommenders
Work on backend and infrastructure to build, deploy and serve machine learning models
Develop ML algorithms to balance different objectives and model long term values
Drive the roadmap for next generation of shopping recommenders
Link:
https://www.pinterestcareers.com/job/12630416/machine-learning-engineer-shopping-discovery-toronto-ca/
Staff Machine Learning Engineer, Shopping Discovery
Pinterest
What you’ll do:
Develop large scale shopping recommendation algorithms
Build data pipelines to do data analysis and collect training data
Train deep learning models to improve quality and engagement of shopping recommenders
Work on backend and infrastructure to build, deploy and serve machine learning models
Develop algorithms to optimize the whole page layout of the shopping surfaces
Drive the roadmap for next generation of shopping recommenders
What we’re looking for:
6+ years working experience in the area of applied Machine Learning
Interest or experience working on a large-scale search, recommendation and ranking problems
Interest and experience in doing full stack ML, including backend and ML infrastructure
Experience is any of the following areas
Developing large scale recommender systems
Contextual bandit algorithms
Reinforcement learning
Link:
https://www.pinterestcareers.com/job/12630434/staff-machine-learning-engineer-shopping-discovery-toronto-ca/
Software Engineer, Content Quality
Pinterest
What you’ll do:
Architect and develop systems, data pipelines, tools, and processes for computing and delivering signals capturing quality aspects of content created on Pinterest
Collaborate with Machine Learning engineers during conceptualization and productionization of signal
Work with infrastructure and platform teams to build the right set of tools and APIs to support signal hosting and delivery
Collaborate with signal consuming teams to facilitate signal adoption
What we’re looking for:
5+ years of industry experience
Expertise in at least one of the generic programming languages (Java/Scala/C++/Python/)
Expertise in building and debugging scalable backend services and APIs
Hands-on experience on large-scale distributed systems (distributed storage systems, stream processing, inference, and deployment at scale)
Hands-on experience with big data technologies (e.g., Hadoop / Spark / Kafka / Flink) and scalable real-time systems that process stream data
What skills are ideal but not required?
Experience working with machine learning model lifecycle
Basic knowledge of machine learning (or willingness to learn!), e.g., feature extraction, training, and some familiarity with machine learning domains (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing)
Link:
https://www.pinterestcareers.com/job/13449724/software-engineer-content-quality-toronto-ca/
