Startups · AI

Research Systems Engineer

Applied Compute · San Francisco · On-site

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About Applied Compute

Specific Intelligence for Your Business. Backed by Kleiner Perkins and Lux.

About the role

As a research systems engineer, you'll train frontier-scale models and develop the methods that make continual learning work inside enterprise environments. You'll design and run experiments at scale, explore cutting-edge RL techniques, and build the tools that let us understand what's actually happening during training. This role sits at the intersection of research and systems. You'll invent new algorithms alongside researchers, then work with infrastructure engineers to run them on GPUs.

What they're looking for

  • Experience training or serving large language models
  • Experience building RL environments and evaluations for language models
  • Proficiency in PyTorch, JAX, or similar ML frameworks, with experience in distributed training
  • Strong experimental design skills — you know how to set up experiments that actually answer questions
More about this role

As a research systems engineer, you'll train frontier-scale models and develop the methods that make continual learning work inside enterprise environments. You'll design and run experiments at scale, explore cutting-edge RL techniques, and build the tools that let us understand what's actually happening during training. This role sits at the intersection of research and systems. You'll invent new algorithms alongside researchers, then work with infrastructure engineers to run them on GPUs.

Post-train frontier-scale language models on enterprise tasks and environments

Explore and develop RL techniques, co-designing algorithms and systems

Contribute to Alchemy, our data research program for generating signal-rich training environments from production data

Build high-performance internal tools for probing, debugging, and analyzing training runs

Partner with infrastructure engineers to scale training and inference efficiently

Experience training or serving large language models

Experience building RL environments and evaluations for language models

Proficiency in PyTorch, JAX, or similar ML frameworks, with experience in distributed training

Strong experimental design skills — you...

Read the full posting on Applied Compute's site ↗

Research Systems

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