Turing
Staff Research Engineer - RL Gyms
San Francisco, California, United States · Staff+
Sponsorship not specified$250k-$350kDetected 1 day ago
PythonFull-Stack DevelopmentSQLAPI DevelopmentMachine LearningData EngineeringComplianceDesign SystemsResearchLeadershipCollaboration
About the role
- We are looking for a Staff Research Engineer - RL to own the end-to-end lifecycle of RL environment projects, spanning environment design, task generation, reward/verifier design, quality, and delivery to frontier AI labs and enterprise clients.
- This is a hands-on technical leadership role where you influence revenue directly - you will be mapped to one or more AI labs and build RL environments specific to their needs.
- You will lead teams of engineers, subject matter experts (e.g. Finance expert, if you're building an RL environment for investment banking workflows), researchers, and data ops teammates to achieve this.
Responsibilities
- End-to-End Ownership: Lead RL Environment projects end-to-end for one or more clients, ensuring the environment you and your team create matches the client's spec, surpasses quality expectations, and is delivered on time.
- Team building and enablement: Work with your Ops counterparts to build the team of full-stack engineers, back-end engineers, domain experts, QAs, data creators, reviewers, and others you'll need to deliver the environment on time.
- Customer Interaction: Own customer relationships for your RL Environment project(s), and act as the primary point of contact for leading AI labs, providing regular updates, asking for feedback, and identifying opportunities to grow project scope and revenue.
- RL & Post-training experience: familiarity with RL fine tuning, verifier/reward design, and/or environment design
- Systems thinking + Database/API design: ability to 'simulate' the data schema and API interface of a consumer or business application
Requirements
- ability to 'simulate' the data schema and API interface of a consumer or business application
Nice to have
- willing to write code along with the team you're managing
- Python and SQL experience preferred
Skills
- Environments for Software Engineering / coding agents
- UI-Environments for Computer-Use/Browser-Use agents
- MCP-based Environments for general function-calling agents across various enterprise and consumer applications.
Compensation
- $250,000 to $350,000 OTE + Equity
Company info
- Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises.
- We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience.
- The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here:
- We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- Who We're Looking For
This listing is sourced directly from Turing's careers page and normalized into a canonical job model.