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 at Percepta, you'll work closely with the core research and the product team to build and scale modeling capabilities. All of our core research areas rest on the some of the same underlying foundation: large-scale training / inference infrastructure, and reliable distributed systems. Our four research tracks are: world modeling, forecasting, user modeling, and optimization. You'll build and own that foundation, work embedded directly inside customer environments to understand where it needs to flex, and ship the production systems that turn research ideas from any of our four tracks into something real and deployed.

Responsibilities

Work backwards from our long-term research vision to surface and prioritize the infrastructure and tooling work that connects our ambition to near-term business value.

Rapidly prototype, build, and deploy AI systems that work in the wild with real users, real data, and real production constraints.

Iterate quickly based on user feedback and partner closely with stakeholders to ensure what you build is used, trusted, and adopted.

Embed directly within customer environments, build trust, and become their embedded technical partner on applied AI while raising the ceiling of what’s possible with their data and infrastructure.

Encode what you learn into Mosaic, our core product, consistently contributing new features, patterns, and abstractions back into the platform.

Partner with our Embedded Product Managers to translate what you learn into reusable playbooks that help us drive faster transformation with future customers.

What We're Looking For

Are motivated by high-leverage infrastructure and systems work that underpins research across multiple tracks.

Have experience with high-performance, large-scale distributed systems and are comfortable being the person that scales research ideas into ones that actually run in production.

Have a proven track record of execution in ambiguous, fast-moving environments.

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

Enjoy extreme ownership.

Are passionate about AI's transformative potential.

Bonus If You Have

Large-scale model training and inference.

Implementing LLM post-training recipes.

Deeply familiar with vLLM/SGLang, Ray and Kubernetes.

Distributed checkpointing and multi-node/multi-GPU training.

Asynchronous training and inference — VeRL, ROLL, SkyRL, AReaL, or asynchronous RL libraries like CleanRL.

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.

About Our Team

As an organization, Percepta is committed to inclusion and belonging, and our people are our greatest investment! 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.

In addition to competitive compensation, equity, 401(k) matching, comprehensive health and family benefits, and lunch every day, we offer a culture built on autonomy and trust. We strongly believe that the boldest solutions come from teams who dream bigger together, and that means bringing in people from every kind of background, experience, and path. We are an office-first team that values the impact of in-person collaboration, but we focus on outcomes over outputs—believing that we are each responsible for solving the "whole problem" to make our customers win.