Junior Software Engineer

We’re partnering with a top AI training lab in San Francisco to hire a junior software engineer - and they pay like it’s a senior role: $300K base + equity + bonus, for new grads., * Own the full lifecycle: from task concept through evaluation against frontier models

• Evaluate coding-agent outputs and identify subtle failure patterns
• Build Python-based systems, harnesses, and tooling around model training and evals
• Work with Docker/Linux environments that mirror real engineering work
• Own problems end-to-end in a small, fast-moving team

• Experience working with the latest AI tools and models
• Exceptional problem-solving ability - strong technical fundamentals and intuition for AI model behavior
• Able to work independently
• In person in San Francisco

• ML or AI experience (e.g., you’ve trained your own models) - not required
• Strong math/CS background (competitions like USACO/ICPC/olympiads)
• Competed in quiz bowl, debate, robotics
• Impressive personal projects
• $300K base + equity + bonus - at the junior level
• Your work directly shapes how frontier AI models learn to do real engineering
• Small fast moving team, no bureaucracy - high ownership from day one
• Work at the frontier of RL, agents, and evaluation with the top AI labs as your customers

One-liner: Building high-fidelity RL environments used to train frontier AI models on real software-engineering work.

Stage: 11-50 people, HQ in SF. They work directly with the top AI labs - their environments are used to train state-of-the-art models.

Today, AI models learn coding from static datasets and toy problems. This team builds the realistic, simulated engineering environments - long-horizon tasks, real tooling, real failure modes - that frontier labs use to train and evaluate the next generation of coding agents.