NYC Tech Jobs and Startup Jobs

6

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.

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.

Data Engineer

Rocketrip
Greater NYC Area
5 months ago
We are seeking a Data Engineer who can operate within our engineering organization and help take our data strategy to the next level. The Data Engineer will be able to design, code and provide architecture solutions for the team, including but not limited to ETL, data warehousing, and data integration. The right candidate for this role is someone who is passionate about technology and interacting with product owners, thrives in ambiguity, and is focused on delivering exceptional results with great teamwork skills in a scrappy, startup environment. The candidate will have the opportunity to influence and interact with fellow engineers beyond their team. 

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