Software Engineer (SWE)

About the Role

Take end-to-end ownership of projects that push the frontier of AI evaluation. One week you might prototype a reinforcement learning environment from a research paper, the next deploy distributed experiments on Kubernetes, then improve a Next.js dashboard or build a Kafka pipeline for annotator analytics.

What You Will Do

• Design and build scalable systems: RL environments, APIs and human-in-the-loop platforms.
• Collaborate with research, product and design to ship features quickly.
• Write clean, maintainable code and contribute to documentation, code reviews and design discussions.
• Solve real scalability and reliability challenges in the core infrastructure that powers data and evaluation for leading AI labs.
• Work directly with AI lab researchers.

What We Are Looking For

• Two to five years as a full-stack engineer, with Next.js and React, Node.js or Python, and Kubernetes.
• Experience building something end to end with a bias toward ownership.
• Time at a high-growth, top-tier venture-backed startup, a reputable trading firm, or as a founding engineer.
• A degree from a top-30 school in the US, Canada or Europe.
• Comfort being client-facing with AI lab researchers.

Bonus Points

• Kafka, Redis and Elasticsearch.
• Experience at a human data or data labeling AI company.

Benefits & Perks

Compensation and Benefits $260,000-$290,000 base salary, plus uncapped commission of 2% of gross profit on projects you personally deliver and a 3% delivery-team pool paid quarterly, plus competitive equity. Target total cash compensation is $460,000-$690,000. Visa transfers are considered. Take-homes are paid.

Location and Work Model

Full-time and on-site five days a week in the Financial District of San Francisco, with flexible hours.