Research Engineer / Scientist – Modeling

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.

As a Research Engineer/Scientist (LLM Modeling) at Percepta, you will advance the frontier of large-scale language model building and deployment. You will work on pre-training, post-training (e.g., instruction tuning, alignment, distillation), reinforcement learning (RL), and the design of specialized architectures to push the boundaries of reasoning, decision-making, and adaptability in critical industries.

You’ll collaborate closely with our Embedded Product Managers (EPMs) and engineers to ensure our most sophisticated decision systems are both innovative and pragmatically useful in transforming how companies operate.

• Identify impactful problems and design research strategies across pre-training, post-training, RL, and specialized model development.

• Prototype and scale training pipelines for large language models, experiment with model architectures, optimization techniques, and post-training strategies.

• Contribute to infrastructure for high-performance distributed training.

• 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, making sure everyone understands the “so what” of research and how to apply it.

• Have an MS/PhD in Computer Science, ML, a related field, or equivalent experience.

• Have depth in LLM and ML fundamentals from optimization to large scale training to Reinforcement Learning

• Are comfortable implementing and debugging large-scale ML systems.

• Are motivated by impact in critical industries including healthcare, supply chains, energy, and finance.

• Have a proven track record of execution.

• Are an excellent communicator with both technical and non-technical stakeholders.

• Enjoy extreme ownership.

• Are passionate about AI’s transformative potential.

We're working against an incredibly ambitious mission. It won't be easy but it will likely be the most fulfilling work of your career. If that excites you, let's chat, even if you don't meet all of the qualifications above.