talentpluto
RL Environment Software Engineer
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it 13 days ago · Found 1h ago
First listed 13 days ago and still open.
Salary
$180,000 to $220,000
Location
United States only
Timezone
US East
Contract
Full-time
Experience
Mid
Category
Software
Stated by the employer in the job description
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "San Francisco, United States, San Francisco, California, United States, San Francisco, California, United States, Remote"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
Location: Remote (United States)
Work Model: Remote
Industry: Applied AI / AI research data
Compensation: $180K-$220K base, ~$400K+ OTE (uncapped profit share)
About the Company
Our partner is a fast-growing applied AI research lab that builds high-quality reinforcement-learning environments and agents sold to the world's leading AI labs. In under two years they have scaled to a nine-figure revenue run rate and grown their team severalfold in a matter of months, backed by leading venture investors. Quality is their core differentiator, and they are rapidly expanding into new domains.
The Opportunity
As an RL Environment Software Engineer, you will sit at the intersection of research engineering and traditional software engineering, building the environments that simulate real-world workflows and the agents that automate them. This is forward-looking work, you will help research and predict what high-quality environments the frontier will need next, then build them from the ground up.
You will join a brand-new RL team being assembled with exceptional talent, with a clear path to grow alongside it as the function scales into industry pods.
Responsibilities
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.
Requirements
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.
Requirements
- ·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.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at talentpluto, mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 2h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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