Amazon Flex Jobs in New York

Neuroboros Team OpportunityYou will join a dynamic team working in the GenaAI revolution by applying AI to AI.

You will work building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's Machine Learning silicon: Trainium.

You will work with external and internal customers to identify the main obstacles and the opportunities to accelerate their adoption of the Neuron technology.

You will be a key member of the team driving our vision and strategy in this space critical to AWS's Generative AI business. Will also lead a team building AI agents and tools that simplify AWS Neuron adoption for Machine Learning developers working with Trainium chips, partnering with external and internal customers to identify obstacles and accelerate their migration to AWS's ML silicon.

Key job

responsibilities: Collaborate with scientists, engineers, product managers and executive leadership to create the technical vision and roadmap for agents and tools used by internal and external Machine Learning developers.

Serve as a technical lead on demanding, cross-functional projects critical to AWS's future success in the AI space.

Deliver on ambitious goals to improve the time and effort it takes to port and optimize Machine Learning workloads on Neuron.

Contribute intellectual property through patents.

Hire and assist in the career development of your team members, actively mentoring individuals on advanced technical issues and their career growth.

Contribute to the definition of best practices for the software development lifecycle used by junior engineers, including its design, implementation, testing, and operational characteristics.

About the

team: The Neuroboros team was recently created to pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling.