Research Engineer / Scientist – Reinforcement Learning (RL)
Technologies
Reinforcement Learning · Python · vLLM · SGLang · Ray · Kubernetes · AWS EKS · VeRL · CleanRL · LLM post-training
About Percepta
General Catalyst's in-house AI transformation studio deploying engineers, researchers, and PMs directly into enterprises to build agentic workflows via Mosaic toolkit.
Private Late
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the job description
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. [... source excerpt omitted ...] n incredibly ambitious mission. It won’t be easy, but it will likely be the most fulfilling work of your career. If this excites you, let's chat, even if you don't meet all of the qualifications above. Our Values Dream bigger: We have the unique privilege of taking on the most ambitious problems and we should chase them with optimism, responsibility, and genuine belief that we can make it happen. We have to embrace the hard things when no one else will. Heart in the game: What we're doing matters and we have to give a shit. Internally, that means fixing badness when you find it. Externally, it means honoring the trust our customers place in us with their most important problems. Thi [... source excerpt omitted ...] isn’t a 9-5, nor is it a job we’re ever going to monitor your hours. We promise to put work in front of you that matters and in return, we ask you to promise to care. Win for the customer: Everyone is an engineer and the job of an engineer is to deliver outcomes, not outputs. Everything we do—the products we build, the partnerships we launch, the strategy we set—exists to make our customers successful. Delivery is the strategy. Make the call: Organizations are only as strong as the pace at which they make decisions. Everyone at Percepta should feel empowered to commit and shape the ambiguity in front of them. But "make the call" cuts both ways: make the decision and make the ph
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