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Software Engineer, RL Environments

San Francisco Bay Area
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Design and build datasets and evaluation systems for frontier AI models at a Series B AI company. Develop reward signals, evaluation rubrics, and frameworks to measure model performance across various workflows. Requires strong Python skills and 1-4 years of experience in production ML/LLM workflows.

Key Highlights
Direct impact on frontier AI models within a small, fast-growing team
Focus on RLHF/RLVR training pipelines and reward signal design
On-site role in San Francisco with significant profit sharing and equity
Key Responsibilities
Design data that exposes model failures across finance, code, and enterprise workflows.
Build reward signals and evaluation rubrics for RLHF / RLVR training pipelines.
Develop frameworks to measure dataset quality and its real impact on model performance.
Turn ambiguous research goals into concrete, shippable systems.

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Technical Skills Required
Python Machine Learning
Benefits & Perks
Base salary starting from $250,000
Significant profit share
Equity
Visa sponsorship (H-1B, O-1, OPT)

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Nice to Have
RLHF experience
RLVR experience
Evaluation experience

Job Description

🚀 Software Engineer — RL Environments

We're partnering with a fast-growing (Series B) AI company that builds the datasets and evaluation systems frontier AI labs use to train their models. You'd be working hand-in-hand with top research teams designing the tasks models practise on, and the scoring that decides whether they're really getting smarter.

What you'd own:

🔹 Design data that exposes where models fail across finance, code & enterprise workflows

🔹 Build reward signals and evaluation rubrics for RLHF / RLVR training pipelines

🔹 Develop frameworks to measure dataset quality and its real impact on model performance

🔹 Turn ambiguous research goals into concrete, shippable systems

You must have:

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Job Overview
Posted Sep 28, 2026
Employment Full-time
Experience Mid-Senior level
Location San Francisco Bay Area
Category Programming
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