Research Engineer, Machine Learning (Reinforcement Learning)
Menlo Ventures PortfolioNew York, NY · full time
$500,000 – $850,000
Listed on Menlo Ventures Portfolio’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role is for a machine learning engineer to build and optimize reinforcement learning systems that make language models more capable and safer, working on everything from training infrastructure to novel RL techniques. It suits someone who enjoys moving fluidly between research exploration and production engineering, with strong systems thinking and Python expertise.
Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.
Skills this role names
Log in to see which of these are already on your profile.
What they ask for
Required
- Proficient in Python and async/concurrent programming with frameworks like Trio
- Experience with machine learning frameworks (PyTorch, TensorFlow, JAX)
- Industry experience in machine learning research
- Ability to balance research exploration with engineering implementation
- Strong systems design and communication skills
- Care about code quality, testing, and performance
- Passionate about safe and beneficial AI systems
- Bachelor's degree or equivalent combination of education, training, and/or experience
Nice to have
- Familiarity with LLM architectures and training methodologies
- Experience with reinforcement learning techniques and environments
- Experience with virtualization and sandboxed code execution environments
- Experience with Kubernetes
- Experience with distributed systems or high-performance computing
- Experience with Rust and/or C++