Senior Research Engineer, Safety

Responsibilities

• Research and build safeguards against prompt injection, unsafe tool use, sensitive-data disclosure, policy violations, and hallucinated commitments.
• Build adversarial evaluations, simulations, red-team datasets, and regression suites informed by production failures.
• Develop and deploy classifiers, judges, reward signals, post-training methods, and runtime safeguards for safer agent behavior.
• Analyze production traces and incidents to identify root causes, test mitigations, and measure their impact.
• Partner with Security, Product, Infrastructure, Legal, and customer-facing teams to turn enterprise requirements into scalable safeguards and rollout practices.

Requirements

• 4+ years of experience in AI/ML engineering, research, or AI safety.
• Hands-on experience evaluating, post-training, or deploying language models or agentic systems.
• Experience with modern post-training techniques, such as reinforcement learning, preference optimization, distillation, model routing, and synthetic-data generation.
• Experience with adversarial testing, model red teaming, prompt injection, policy enforcement, privacy, or safe tool use.
• Fluency in Python and modern machine learning tooling, with strong experimental judgment and engineering depth to ship production systems.
• Ability to own ambiguous, high-stakes technical problems and make clear risk and product tradeoffs.

Nice to Have

• Experience building safeguards for high-stakes or regulated enterprise workflows.
• Familiarity with human-in-the-loop review, incident response, or responsible rollout frameworks for machine learning systems.

Compensation and Benefits

• Base salary: $200,000–$400,000, plus equity.
• Medical, dental, and vision benefits for employees and families.
• Life insurance and disability benefits.
• Retirement plan.
• Parental leave.
• Fertility and family-building benefits.
• Monthly wellness and lifestyle stipend.
• Daily office lunches and snacks.
• Flexible vacation policy.