Research Engineer

Job Title: Research Engineer – AI Post‑Training, Safety & Alignment

Location: San Francisco, Bay Area

About Us

We’re an independent research team working at the cutting edge of AI safety and post‑training technique development. Our mission is to make frontier models more reliable, interpretable, and aligned with human values — and we’re looking for experienced research engineers to help us push that frontier.

The Role

You’ll design and run experiments on the post‑training stack — from RLHF and preference optimization to scalable oversight and interpretability. We’re particularly interested in engineers who can bridge the gap between theoretical alignment research and robust, production‑level experimentation.

Responsibilities

• Implement and evaluate novel post‑training techniques (RLHF, DPO, constitutional methods, etc.)
• Collaborate with alignment researchers on safety‑critical model evaluations
• Develop tooling, datasets, and metrics for measuring model behavior and robustness
• Contribute to open‑source or internal research efforts with publishable outcomes

You Might Be a Fit If You:

• Have experience at top AI labs (e.g., Anthropic, DeepMind, OpenAI, or similar research orgs)
• Are fluent in modern deep learning frameworks (PyTorch, JAX, or equivalent)
• Have hands‑on experience with large‑scale model training or fine‑tuning pipelines
• Care deeply about building systems that do what we intend

Why Join Us

• Work alongside top minds in alignment and post‑training research
• Shape the direction of safe, aligned AI development
• Flexible setup (remote, hybrid, or co‑location)
• Competitive compensation and meaningful ownership

Apply for a confidential chat!