Transparent Search Group
Software Engineer - RL Environments
San Francisco, California, US
Role snapshot
Transparent Search Group is hiring a Software Engineer - RL Environments on a full-time basis. This is an on-site role based in San Francisco, California, US.
- Company
- Transparent Search Group
- Location
- San Francisco, California, US
- Work mode
- On-site
- Job type
- Full-time
- Experience
- 1–4 years
- Posted
- Sep 24, 2026
Who this role suits
People with roughly one to three years of experience who can own small pieces of work with light guidance and want to widen their scope.
How to prepare your application
- Prepare two or three stories about work you owned end to end, including one thing that went wrong and what you changed.
- Read what Transparent Search Group publishes about its product or team, so you can say clearly why this role and this company.
Apply only on Transparent Search Group's own site. A genuine employer never asks candidates for money, deposits or bank details to apply, interview or “secure” a job. If something looks wrong, use Report a problem with this listing and we will review it. Read how we check listings.
About the role
Software Engineer - RL Environments
Company: Confidential — venture-backed technology company
Location: San Francisco, CA (in person)
Compensation: $260,000 - $290,000 base + profit share (around 150% of base, per the company) + competitive equity
Employment Type: Full-time
Visa Sponsorship: H-1B, O-1, OPT
About the Company
The client is an applied research lab that curates the datasets, RL environments and evaluation infrastructure frontier AI labs use to build better models, working with leading AI labs and companies including Nvidia, Thinking Machines Lab and Legora.
Founded in 2025, the client reached a $100M+ revenue run rate within about a year and recently raised at a $3.2B valuation, making it the fastest unicorn in Y Combinator history.
The Role
As a Software Engineer on Environments, you will design the datasets and evaluation rubrics that directly shape how frontier models learn. You will work hands-on with research teams at top AI labs, experiment with data-collection strategies, diagnose model failure modes and build metrics that show whether a model is actually improving, moving from hypothesis to live experiment quickly, with output feeding directly into training runs at scale.
What You Will Do
- Design data slices that expose meaningful model failure modes across domains such as finance, code and enterprise workflows.
- Build and refine evaluation rubrics and reward signals for RLHF and RLVR pipelines.
- Model annotator behavior and run experiments to improve model capabilities.
- Develop quantitative frameworks for dataset quality, diversity and downstream impact on alignment and capability.
- Create and manage real-world and synthetic data pipelines.
- Translate lab research teams' training objectives into concrete data and evaluation specifications.
What You Bring
- 1-4 years of engineering experience
- Strong software engineering fundamentals and comfort running fast, hypothesis-driven experiments
- Interest in RL, evaluation and data for frontier model training
- Ability to work in person in San Francisco
Benefits
Profit share (around 150% of base per the company), competitive equity, and direct work with the world's leading AI labs.
Before you apply: get a free recruiter-readiness score for your resume at CareerStanding — about a minute, no signup, and your resume stays in your browser.