Our partner
RL Environment Software Engineer
RemoteUnited States only
- Role
- AI / ML
- Experience
- Senior
- Employment
- Full-time
- Company size
- Startup
$180k–$220k/yr
Check eligibility
Open to US only. Set where you work from to check your eligibility.
No BS summary
Senior Machine Learning Engineer specializing in Reinforcement Learning to build high-quality RL environments and agents. Requires strong coding skills in Node.js, Python, React/TypeScript, Kubernetes, and Docker. This is a remote role within the United States, operating in a fast-paced startup environment.
Core skills
PythonKubernetesReinforcement Learning
Required skills
Node.jsReactTypeScriptDocker
What you'll do
- Design and build high-quality RL environments that simulate real working environments end to end.
- Develop agents for the tasks within those environments and iterate until they are efficient and production-ready.
- Partner with the research team to scope which environments to build and why, staying ahead of future demand rather than only meeting present needs.
- Own the backend and infrastructure layers that make environments reliable and scalable.
- Help set engineering standards for a zero-to-one team as the RL function grows.
What they require
- Strong machine-learning engineers who code heavily and build systems from scratch, with strong intuition for reinforcement learning.
- Proficiency across a modern stack, Node.js and Python on the backend and React/TypeScript on the frontend, with strong Kubernetes and Docker skills.
- Comfort operating in a fast-paced startup environment with high ownership and long hours.
- A track record of meaningful tenure and impact at previous companies.
- Reinforcement-learning experience or an RL research background is a strong plus, though not required.
- Bachelor's degree in computer science or a related technical field, or equivalent practical experience.
journal article; published in History in 1976
What people say about this company
3.4/ 5
$180k–$220k/yr