Machine Learning Jobs in NYC

30

Data Scientist

Via
Greater NYC Area
6 hours ago
Adeptly interpret and utilize mass quantities of data to generate innovative hypotheses & insights, and present these insights to the different stakeholders. Use sophisticated statistical methods to solve problems, leveraging up-to-date academic research and tools. Quantitatively test hypotheses about customer and driver behavior using large sets of proprietary data; leverage results to increase conversion and retention at every touch point. Design and implement novel experiments to better understand current operation as well as expansion to new markets.

Data Engineer

Alice
19 hours ago
+18
Write ETL and schedule ETL jobs to optmise the data warehouse for analytics and machine learning. Contribute to discussions about data architecture and data models that help to inform planning: you'll have the opportunity to drive how we architect our data platform. Support the data warehouse in identifying and revising reporting requirements, e.g. if new data sources or data tracking are needed. Write maintainable efficient code. Collaborate with business stakeholders to help define and refine requirements for data reporting needs.

Senior Data Engineer

Urbint
Greater NYC Area
19 hours ago
+44
At Urbint, you will collaborate within a cross functional team of other software engineers, product designers, machine learning engineers and product managers to architect, create and maintain custom data pipelines, data lake(s) and a data warehouse to feed our customer facing applications and internal experimentation and modeling teams. Our data sources range from large, high security enterprise databases and storage services hosted by our customers to disparate open data from government organizations to proprietary third party aggregators and auditability and security are very important to their results. You will be working to solve direct customer needs and finding common abstractions to apply and guide the future of information at data driven organization.

Staff Engineer

Braze
Greater NYC Area
20 hours 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 days 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 ML Engineer

OkCupid
Greater NYC Area
2 days ago
+32
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.

Machine Learning Engineer

Eight Sleep
Greater NYC Area
5 days ago
+31
Eight Sleep is looking for an experienced machine learning researcher to join our engineering team. The ideal candidate has practical experience with modern ML frameworks, is able to rapidly prototype ideas from the latest research, and has an extensive track record of shipping cutting-edge and impactful ML products. The ML researcher will be responsible for harnessing the power of the more than 40 trillion health data points we have collected with the goal of building the first hardware + software sleep fitness solution to optimize human potential through better sleep.

Machine Learning Researcher

Eight Sleep
Greater NYC Area
5 days ago
+31
Eight Sleep is looking for an experienced machine learning researcher to join our engineering team. The ideal candidate has practical experience with modern ML frameworks, is able to rapidly prototype ideas from the latest research, and has an extensive track record of shipping cutting-edge and impactful ML products. The ML researcher will be responsible for harnessing the power of the more than 40 trillion health data points we have collected with the goal of building the first hardware + software sleep fitness solution to optimize human potential through better sleep.

Senior Machine Learning Researcher

Eight Sleep
Greater NYC Area
5 days ago
+31
The ML researcher will be responsible for harnessing the power of the more than 40 trillion health data points we have collected with the goal of building the first hardware + software sleep fitness solution to optimize human potential through better sleep.

Senior Data Engineer

Gemini
Greater NYC Area
5 days ago
+29
As a member of our data engineering team, you’ll shape the way we approach data at Gemini by using your engineering, analytical and communication skills to work with teams across the business. You know how to ask the right questions and are passionate about using data to support and drive informed business decisions. You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects. You’ll mentor data engineers and analysts and guide our internal teams to use data to improve the product and achieve KPIs. Communicating your insights with leaders across the organization is paramount to success.

Bioinformatics Software Engineer (Genomics)

Memorial Sloan Kettering Cancer Center
Greater NYC Area
1 week ago
We are seeking a developer with a creative and analytical mind to join Sloan Kettering Institute’s Single Cell Research Initiative (SCRI). The team’s goal is to develop cutting-edge algorithms to interpret the flood of data emerging from single-cell technologies in order to explore questions in tumor heterogeneity, metastasis and the tumor-immune environment. If you would rather apply your superb programming and analytical skills towards a cancer cure than to finance and shopping carts, our dynamic multi-disciplinary team is the place for you.

Senior Machine Learning Engineer

Lifion by ADP
Greater NYC Area
1 week ago
+30
The role involves application of machine learning and other related techniques in areas of natural language processing, predictions and recommendations to improve user experiences and decision making, customer service, security, image recognition and retrieval, and more. If you are the kind of person who thrives in a challenging environment and has creative expertise and a thirst for pushing the limits, we are interested in you!

Software Engineer - Backend

HyperScience
Greater NYC Area
1 week 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.

Machine Learning Engineer

HyperScience
Greater NYC Area
1 week 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!

Business Intelligence Lead

CB Insights
Greater NYC Area
1 week 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.

Intelligence Unit, CPG & Retail Associate

Machine Learning Engineer

Ocrolus
Greater NYC Area
1 week 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.

Data Scientist

Data Engineer

Senior Machine Learning Software Engineer

Imagen Technologies
Greater NYC Area
1 week 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. 

Data Engineer

CTRL Global
Greater NYC Area
1 week ago
– Draw from a broad background of data-mining techniques in mathematics, statistics, information technology, machine learning, data engineering, the design of experiments, visualization, and text mining to discover insightful patterns in data. – Work with the team and ensure availability of all relevant datasets and thorough understanding and exploration of data; create documentation on the entire process. – Build out and maintain data pipelines. – Carrying out statistical and mathematical modeling, create forecasting models. – Performance metric - delivery on time; codebase moving to production; operational performance trends.

Scientific Development Lead, Tempus Insights

Tempus
Greater NYC Area
2 weeks 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.

Data Scientist

Crossix
Greater NYC Area
2 weeks ago
+29
Leverage cutting-edge data science capabilities and technology to design products used to help healthcare clients plan, target, measure and optimize their marketing campaigns. Contribute to the development of Crossix’s rapidly growing and market leading programmatic modeling solutions. Help to discover and deliver innovative advanced analytics powered features and product offerings from prototype to massive scale. Apply machine learning and advanced analytics techniques to large data sets of health and consumer data. Explore and find meaning in extremely high volumes of data to extract actionable insights that will help drive business decisions; perform data query, data cleansing and experiment design.

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