Lead Deep Learning Scientist
Shell
The Lead Deep Learning Scientist is part of the Machine Learning & AI team within the Data Science CoE.
Responsible for leveraging the latest deep learning techniques and frameworks as part of the process of initiating, developing & delivering of machine learning solutions in an agile fashion to the business in order to provide insights & improvement to business processes, or support the creation of innovative business models.
Use data and their analytical ability to find and interpret rich and varied data sources (such as videos, images and textual information); manage large amounts of data; merge data sources; ensure consistency of datasets; create visualizations to aid in understanding data; build deep learning models using the data; and present and communicate the data insights/findings and produce and present results with dashboard
Accountable for mentoring, coaching and supporting more junior colleagues in developing deep learning skills and providing peer reviews to ensure quality deliverables.
Link:
https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=30030&siteid=5798&Areq=120907BR#jobDetails=1543938_5798
Artificial Intelligence Resident
Shell
As a Shell AI Resident, you will be given the opportunity to apply your expertise and deploy deep learning solutions at scale on real-world problems, supporting many different areas of Shell’s businesses. Over the course of this two-year program, you will tackle the world’s toughest energy challenges by collaborating with industry-leading researchers and professionals.
This position is focused on Technical Delivery of software as a subject matter expert (SME) in the fields of Data Science and Artificial Intelligence.
Link:
https://www.shell.com/energy-and-innovation/overcoming-technology-challenges/digital-innovation/artificial-intelligence/advancing-the-digital-revolution.html
Sr. Data Scientist
INCATech
INCATech is searching for a Senior Data Scientist to support a program at the Department of Commerce.
As a Sr. Data Scientist, you shall provide professional services for interpreting large disparate datasets, developing and implementing databases, creating meaningful reports, and determining accurate conclusions. This individual will apply a broad-range combination of expertise from 1) Data Analytics, 2) Statistics, and 3) Programming to harness the power of machine-learning. A successful Sr. Data Scientist has familiarity with data science methods and technologies and may use such tools such as Jupyter Notebook, Azure Machine-Learning Studio, AWS Sagemaker, TensorFlow, MXNet, Caffe, ArcGIS Pro to perform their duties.
The Sr. Data Scientist develops, validates, and implements data models sufficiently to extract, transform, clean, and manipulate large data sources.
Link:
https://incatech.bamboohr.com/jobs/view.php?id=146
Senior Machine Learning Engineer - Computer Vision
Kespry
As a senior member of the Machine Learning team, you will build an end-to-end machine learning solution to tackle various visual problems and ship them to the Kespry cloud platform. You will deal with different forms of visual data; images and videos that are taken from various resources; drones, phones, rovers, satellite, etc. Moreover, you will be involved in building a data pipeline to ingest and transform the data for training/testing. Also, you will build services to deploy your working models in the Kespry cloud. A strong candidate will have experience in applying deep learning to solve visual problems which includes but not limited to; classification, detection, and segmentation using one of the mainstream deep learning libraries; Tensorflow, Keras, PyTorch. In addition to that, strong candidate is expected to have solid experience in deploying and shipping ML/DL models to cloud solutions such as AWS and Azure.
Link:
https://www.linkedin.com/jobs/view/1485233736
AI/ML Software Engineer
Ford
Software Engineers/ Machine Learning Engineers needed to build the Ford’s AI Platform
Link:
None
Senior Data Scientist
Guru
Overview:
Guru is looking for a Sr. Data Scientist to be a core part of our Data Science team. You will be doing research and prototyping emerging machine learning and natural language processing solutions applied to natural language and unstructured data and be conversant with the latest developments in these fields. You will also collaborate with other Data Scientists, Architects, Product Managers and Engineers to prototype, implement and deploy these models into our product.
This job is not only about how well you build models; it’s about how you lend your positivity and presence, combined with your skillset to an energized environment and highly collaborative team. Strong sense of humor required, sarcasm detection skills a plus.
Requirements:
Ph.D. with 2+ years of experience (or Masters with 5+ years of experience) in a quantitative field such as Computer Science, Applied Mathematics, or related STEM field.
You have a deep knowledge and understanding of statistical modeling, machine learning algorithms, and natural language processing techniques.
You have hands-on experience in deploying machine learning models into production to solve business problems.
You have strong programming skills in Python and/or Scala and fluency in data manipulation using SQL, Pandas, or Apache Spark.
You have excellent problem solving and analytical skills.
You are a strong communicator. You have a positive attitude and are empathetic.
You are self-motivated. You identify and solve problems with little or no guidance
You demonstrate self-awareness and a desire to improve.
You excel in a dynamic startup environment.
You work well with others and are a great team player.
Preferred but not required:
Experience with analyzing large data sets, using Hadoop, Apache Spark or related technologies.
Experience with Deep learning models and their practical application at scale.
Link:
getguru.com/jobs
Senior Software Engineer - Machine Learning Platform
Sift
Come help fight the bad guys!
The Machine Learning Platform team exists to enable trust and safety product teams to construct and operate their production machine learning services as effectively as possible.The team does this by providing a platform which handles the common needs of the product teams including production system integration, model availability, health and monitoring infrastructure, and a streamlined model release process.
What you’ll do:
Design and build tools and processes to make the release of new machine learning models fast, easy, safe, and minimally disruptive
Lead architecture discussions to meet the requirements to serve hundreds of machine learning models at thousands of queries per second scale
Implement scalable, high-throughput, fault-tolerant, extensible, and easily maintainable data processing workflows for both batch and real-time systems
Champion and deliver cross-company machine learning initiatives
Motivate, teach, listen and empathize with a variety of engineering and analytical roles
Link:
https://boards.greenhouse.io/siftscience/jobs/1771754
Machine Learning Engineer
Capital One
Are you a high-performing engineer that's passionate about building production-quality applications, working closely with domain experts, data scientists and other engineers to deploy and support cutting-edge machine learning algorithms?
We experiment and innovate leveraging the latest technologies, engineer breakthrough customer experiences, and bring simplicity and humanity to banking.
In Capital One’s ML Bank Engineering team, you’ll be part of an elite group setting the example for machine learning by building enterprise-class applications that solve real problems and meet real customer needs.
Senior Data Engineer / ML Platform
OkCupid
OkCupid is looking to hire a Senior Data Engineer to build our machine learning platform!
We're seeking someone who:
Has experience building Machine Learning workflows (TensorFlow, etc. a plus)
Has experience with large-scale distributed data processing frameworks (Spark, Hadoop, etc.)
Is fluent in SQL and Python
Understands the fundamental and unique challenges behind productionizing algorithms learned from data.
Has a Bachelor's degree or equivalent real-world experience, preferably in a related field (Engineering, Computer Science, Statistics, Applied Math)
What you'll work on:
Own building and architecting our production-oriented machine learning infrastructure
Select and research the right tools for the job and make them all work well together
Troubleshoot & find sustainable solutions for data issues and anomalies
Help out with building the BI stack where necessary
Work with product teams (e.g. matching recommendations) to understand and drive user impact
Link:
https://boards.greenhouse.io/okcupid/jobs/1771360
ML Ops Engineer
Alegion
THE OPPORTUNITY
Alegion is a data-centric company and ML Ops at Alegion empowers our data scientists and app developers to help bring ML models to production. The ML Ops Engineer enables the tracking, versioning, auditing, certifying, and re-using every asset in our ML lifecycle and manages the orchestration services to streamline this lifecycle.
Alegion’s initial ML system connects Data Science and Algorithms to Production and is based on Kubernetes and Kubeflow hosted in AWS; prior experience with this tech stack is preferred but not strictly required. Most of Alegion’s ML is in the deep learning space; prior experience with managing large numbers of features and large numbers of observations is required.
Link:
https://jobs.jobvite.com/alegion/job/oWDbbfwF
Marketing Data Scientist
New York Life
Experienced data scientist (predictive modeling, Python, R, consumer data, etc.) Consumer marketing experience.
Link:
None
