# Research Engineer, Code RL (Reinforcement Learning)

Hiring organization: [Menlo Ventures Portfolio](https://career.thegoodapps.co/organizations/menlo-ventures-portfolio)

Canonical page: https://career.thegoodapps.co/jobs/39435c06-9d65-4344-84a8-0966b219843a

Listed on Menlo Ventures Portfolio's own careers site. Applications go to them directly.

- Employment type: full time
- Location: New York, NY
- Salary: 500000 – 850000 USD per year

## Summary

This role combines research and engineering to advance Claude's ability to write and debug code through reinforcement learning. You'll design RL environments, build reward systems, run training experiments, and optimize the infrastructure that powers these systems, working across agentic coding behaviors, correctness, and performance optimization.

_Our summary, not Menlo Ventures Portfolio's wording._

## Skills named

CUDA, Python, PyTorch, Reinforcement Learning

## Required

- Strong software engineering skills and deep Python expertise, including async/concurrent programming
- Ability to own systems end to end and debug across the stack
- Balance research exploration with engineering implementation and rigorously shape experimental design and interpret results
- Care about code quality, testing, and performance
- Passion for AI safety and beneficial systems development
- Bachelor's degree or equivalent education, training, and professional experience

## Nice to have

- Experience with reinforcement learning, RLHF, post-training, or LLM finetuning
- Built coding agents, code-execution sandboxes, eval harnesses, verifiers, or developer tooling
- Background in program analysis, testing, verification, compilers, or formal methods
- Experience with PyTorch and large-scale distributed training
- Performance profiling and optimization of ML systems
- CUDA/GPU or TPU kernel experience and accelerator-performance intuition
- Experience with virtualization and sandboxed code execution environments

Apply on Menlo Ventures Portfolio's site: https://job-boards.greenhouse.io/anthropic/jobs/5254364008