NYC Tech Jobs and Startup Jobs

7

Research Engineer, Machine Learning

Hyperscience
Greater NYC Area
5 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.

Machine Learning Engineer

Ocrolus
Greater NYC Area
6 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
6 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
6 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
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. 

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

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.

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