Percepta

Research Engineer / Scientist – Reinforcement Learning (RL)

New York City, New York, United StatesFull timePosted 12 days ago
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WHO WE ARE

Percepta’s mission is to transform critical institutions with applied AI. We care that industries that power the world (e.g. healthcare, manufacturing, energy) benefit from frontier technology. To make that happen, we embed with industry-leading customers to drive AI transformation. We bring together:

- Forward-deployed expertise in engineering, product, and research

- Mosaic, our in-house toolkit for rapidly deploying agentic workflows

- Strategic partnerships with Anthropic, McKinsey, AWS, companies within the General Catalyst portfolio, and more

Our team is a quickly growing group of Applied AI Engineers, Embedded Product Managers and Researchers motivated by diffusing the promise of AI into improvements we can feel in our day to day lives. Percepta is a direct partnership with General Catalyst, a global transformation and investment company.

ABOUT THE ROLE

As a Research Engineer/Scientist (Reinforcement Learning) at Percepta, you will work at the intersection of RL research and real-world deployment. You will advance the frontier of capabilities through research on decision-making for critical industries. You will collaborate closely with our Embedded Product Managers (EPMs) and engineers to ensure that our solutions transform how companies operate.

ROLE AND RESPONSIBILITIES

- Identifying which real-world challenges are tractable for RL-guided decision making.

- Develop RL methods to perform complex tasks in domains like planning, decision-making, or optimization.

- Develop and maintain the experimental infrastructure that powers our research, from simulation environments and data pipelines to training and evaluation frameworks.

- Conduct in-the-wild evaluations at scale that drive millions of dollars in value.

- Partner with our applied AI engineers to transition successful research ideas into robust features of our Mosaic platform.

- Communicate research outcomes to both technical and non-technical stakeholders, m...