Machine Learning Jobs in NYC

22

Open Source Scientific Software Engineer

Saturn Cloud
Remote
2 days ago
+16
- You know how to work effectively with open source communities. - You understand what matters when it comes to building scientific computing systems. - You have a good handle on the current Python ML landscape. - You can extend these algorithms to multi-gpu systems using CUDA.

Technical Lead, Business Intelligence

CB Insights
Greater NYC Area
2 days ago
+40
This position will live within the engineering organization, with frequent and close interaction across all major business units at CB Insights. As such, while familiarity with technical systems is important, we are seeking a leader who can act as a strategic thought-partner to the business. Said simply, this person will push the organization's thinking around what and how to measure.

Lead Data Scientist

Hinge
Greater NYC Area
2 days ago
+29
Who We're Looking For: Hinge is seeking a data scientist to oversee initiatives in advanced analytics. You will lead efforts to glean actionable insights from massive amounts of data for the purpose of driving product and business decisions. This role is expected to progress to a managerial position within 6 months. Responsibilities: - Translate product and business objectives to data science problems and vice versa - Partner with stakeholders

Staff Machine Learning Engineer

OkCupid
Greater NYC Area
2 days ago
+32
OkCupid is looking to hire a Senior ML Engineer to build our machine learning platform! If you're an ML Platform Engineer that likes the idea of working on a product used by millions of people, read on.   What's it like being an ML Engineer at OkCupid? We're a tight-knit team of Engineers and Data Scientists that manage all aspects of OkCupid's data stack and production modeling. Every person we hire is given lots of ownership; your input will be

Research Engineer, Machine Learning

Hyperscience
Greater NYC Area
3 days ago
+37
Machine Learning (ML) is at the core of what we do. We turn ML lab experiments into enterprise-ready AI solutions - and we’re looking for continuous learners to work on these efforts. We are focusing on understanding document images and extracting structured and unstructured data. This naturally leads us to solve a number of problems in machine perception and natural language understanding. This is an opportunity to work on the full lifecycle of an ML solution - you will research cutting edge techniques (Computer Vision, Natural Language Processing, Meta Learning), implement them in a fast-growth AI startup environment, and ensure thеy are integrated in a reliable and scalable way to bring real value to customers. Furthermore, you’ll provide opportunities for these models to be automatically retrained and get smarter over time.

Data Scientist, Product Analytics

noom
Greater NYC Area
3 days ago
+50
We work on problems that affect the lives of real people. Our users depend on us to make positive changes to their health and their lives. We base our work on scientifically-proven, peer-reviewed methodologies that are designed by medical professionals. We are a data-driven company through and through. We’re a respectful, diverse, and dynamic environment in which Engineering is a first-class citizen, and where you’ll be able to work on a variety of interesting problems that affect the lives of real people. We offer a generous budget for personal development expenses like training courses, conferences, and books. You’ll get three weeks’ paid vacation and a flexible work policy that is remote- and family-friendly (about 50% of our engineering team is fully remote). We worry about results, not time spent in seats. Delicious (and nutritious) daily lunches and snacks prepared by Sam, our NYC office on-site chef.

Machine Learning Engineer

Ocrolus
Greater NYC Area
4 days ago
+22
Work with Product and Operations to understand the business, and the different problem spaces at play. Identify areas where ML could achieve disproportionate lift. Coordinate with Operations to describe data collection needs, and prescribe collection methodology. Design solutions that employ modern ML techniques for the purpose of performing image classification, image localization/ segmentation, natural language processing, and more. Deliver solutions that are highly performant and lead to a higher degree of automation across the Company.

Software Engineer - Backend

Hyperscience
Greater NYC Area
4 days ago
+37
Wrapping ML modules in reusable application components, which can be integrated in different configurations depending on the specific customer’s needs. Leveraging your systems knowledge to deliver fast and scalable software, starting from the design of the system through development and extension. Designing easy-to-use programmer interfaces and tools that will be leveraged by other developers, including APIs for our clients' developers. Creatively solving problems even when the initial answer is unclear. Helping improve our code quality by writing unit tests and performing thorough code reviews. Assessing where the optimization efforts should go in order to utilize better the ML components and know-how of the company.

Senior Machine Learning Engineer

Hyperscience
Greater NYC Area
4 days ago
+37
We are focusing on understanding document images and extracting structured data. This naturally leads us to solve a number of problems in machine perception and natural language understanding. ML is at the core of what we do. We turn ML lab experiments into enterprise-ready AI solutions - and we’re looking for continuous learners to work on these efforts. This is an opportunity to work on the full lifecycle of an ML solution - you will research cutting edge techniques, implement them in a fast-growth AI startup environment, and ensure thеy are integrated in a reliable and scalable way to bring real value to customers. Furthermore, you’ll provide opportunities for these models to be automatically retrained and get smarter over time!

Senior Machine Learning Software Engineer

Imagen Technologies
Greater NYC Area
6 days ago
+23
As Senior Machine Learning Software Engineer, you will work with a small team of scientists, radiologists, and software engineers who plan and develop Imagen’s machine learning products. You will be helping design and rapidly prototype our machine learning software, including the tools and infrastructure necessary to build and deploy it at healthcare providers. You’ll be focused on rapid prototyping and iteration, making practical implementation decisions, and creating proofs of concept for novel research ideas. 

Sr. Manager / Director, Machine Learning and Data…

Rent the Runway
Greater NYC Area
6 days ago
+45
This is one of the critical leadership roles at RTR, a data-driven company that is changing the way women get dressed. In this role, you will manage all efforts to build machine learning products across the business - consumer/website, marketing, operations, and inventory. That includes personalization, inventory catalog optimization, network optimization, allocation, demand forecasting, and much more. You will grow and lead a team of experienced data scientists and machine learning engineers who own the full life cycle of data products, from exploratory analysis, building MVPs to deploying, maintaining, and iterating on production systems. You will directly report to our VP of Data and partner with C-level executives and the rest of senior leadership to shape and support our data strategy and develop a roadmap for internal and customer facing data products.

Scientific Development Lead, Tempus Insights

Tempus
Greater NYC Area
1 week ago
+13
Find the most exciting scientific advancements, algorithms, molecular signatures and technology that Tempus can invest in and bring to doctors and patients. Work with academic researchers and other life sciences companies to identify unique technology that fits with Tempus’ mission, core business and capabilities. Evaluate opportunities: assess feasibility of potential projects, collaborate with internal and external stakeholders to understanding scientific opportunities, timelines, costs and multiple other variables to determine optimal partnerships.

Senior Data Scientist

Crossix
Greater NYC Area
1 week ago
+29
Apply machine learning, data mining, and statistical analysis techniques to large health data sets to build new products and methodologies. Own responsibilities related to project and people leadership, including leading data scientists and analysts. Collaborate closely with a team of data scientists, product managers, and executives to discover and deliver product offerings from prototype to massive scale. Explore and find meaning in high volumes of data to evaluate data quality and extract actionable insights that will help drive business decisions; execute data querying, data cleansing, and experiment design. Rapidly build prototype product solutions, communicate findings, and iterate. Draw from prior experience and technical expertise to identify product improvements and inform testing plans; break overall objectives down into underlying problems that can be prioritized and solved. Work with product and engineering teams to improve and implement methods and features. Master core parts of the Crossix technology platform. Technologies include Spark, SQL, Python, R, AWS, and proprietary data mining software.

Principal Data Scientist

Senior Director of Insights and Analytics

New Classrooms
Remote
2 weeks ago
+11
About the Team  The Insights & Analytics Team is responsible for surfacing program insights that fuel the ongoing internal design, practices and advancement of the program offerings and in some cases, inform the industry at large by applying data science/analytics in concert with qualitative observation and/or research. The team is responsible for advancing and stewarding a prioritized learning agenda on key programmatic questions that advance

Staff Engineer

Braze
Greater NYC Area
2 weeks ago
+31
We’re looking for engineering leaders to tackle the significant engineering challenges we’re taking on this year, such as: architecting new iterations of critical components on both frontend and backend systems, building and optimizing for massive scale, and driving new AI/ML powered features.

Machine Learning Infrastructure Engineer

Snap Inc.
Greater NYC Area
2 weeks ago
+48
We’re looking for a Machine Learning Infrastructure Engineer to join our Perception team at Snap Inc! Working from our New York City office, you’ll work on infrastructure that enables machine learning product teams to develop advanced deep learning and computer vision solutions that power exciting products and breakthrough interactive experiences for millions of Snapchatters across the world.

Machine Learning Product Engineer

Senior Data Scientist

Alloy
Greater NYC Area
3 weeks ago
+19
Take ownership of our modeling efforts and how modeling happens at Alloy, including how we build, train, deploy and monitor models that help us distinguish 'good' applications from fraud. Ensure that live production models are served with high uptime/reliability and extremely low latency ( Articulate a feature engineering strategy for extracting signal from varied inputs and partner with our data engineering team to build a reliable pipeline to generate, store and use new features in production. Expand the range of outcomes that we model, expanding beyond basic two-category classification to more robust models that identify particular fraud modalities. Deploy time-series models that score streams of transaction data and integrate with our onboarding models to provide a real-time view of risk. Hire junior data scientists and build out the data science vertical inside the data team.

Machine Learning Engineer

Peloton
Greater NYC Area
3 weeks ago
+27
Build and improve machine learning pipeline that power Peloton’s content recommendations. Evaluate, implement, and improve machine learning models. Productionize, deploy and monitor machine learning based services.

Senior Data Scientist, Machine Learning

Slice
Greater NYC Area
1 month ago
+35
What is Slice? Slice is the leading technology and marketing platform made exclusively for local pizzerias, making it super easy to order delicious, authentic local pizza anywhere, anytime. We serve the $45 billion U.S. pizzeria market in two ways: by providing a pizza-centric mobile and web ordering experience for consumers, and by empowering local restaurants with the technology, tools, and marketing to grow their business, while helping them

Machine Learning Engineers

D. E. Shaw Research
Greater NYC Area
1 month ago
This is a unique opportunity to collaborate with our world-class team of chemists, biologists, and computer scientists to expand the group’s efforts applying machine learning to drug discovery, biomolecular simulation, and biophysics.  Ideal candidates will have demonstrated expertise in developing deep learning techniques, as well as strong Python programming skills.  Relevant areas of experience might include molecular dynamics, structural biology, medicinal chemistry, cheminformatics, and/or quantum chemistry, but specific knowledge of any of these areas is less critical than outstanding intellectual ability and a track record of achievement and innovation in the field of machine learning.

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