Senior AI Engineer, AI Safety

This is a fully remote position, open to applicants in California.

📋 Description

• Create, develop, and deploy foundational agentic automation loops for safety assessments, red-teaming, model testing, post-training processes, and ablations.

• Train and implement specialized systems for identifying harmful content, coordinating content quality, and establishing run-time guardrails.

• Construct and direct automated research frameworks leveraging LLMs and autonomous agents to uncover vulnerabilities.

• Generate or enhance safety datasets for benchmarking or training, and propose innovative alignment techniques.

• Design proof-of-concept safety interventions and transform research ideas into robust, scalable production solutions.

• Collaborate with researchers, platform engineers, and data scientists to bridge AI safety research with effective automated systems.

⛳️ Requirements

• Bachelor’s degree or Master’s degree with equivalent experience in Computer Science, Machine Learning, Software Engineering, or a related discipline.

• Over 8 years of experience in ML engineering or software engineering.

• Demonstrated experience in constructing complex, automated workflows utilizing LLMs, including multi-turn tool-calling, orchestration, and autonomous agent loops.

• Strong proficiency in one or more programming languages, such as Rust or Python.

• Familiarity with machine learning frameworks like PyTorch.

• Capability to address open-ended, ambiguous challenges, and to experiment, fail, iterate, and seek solutions.

• Ability to manage a project from the initial conceptualization of a research idea to the final rollout of a scalable production system.

• Previous domain experience in Trust & Safety, cybersecurity, threat intelligence, adversarial machine learning, or content moderation.

• Practical experience in developing, fine-tuning, or deploying models for harm detection, content safety filtering, or run-time AI guardrails.

• Contributions to projects that utilize LLMs for coding automation, data synthesis, or scientific research tasks.

• Active participation in publicly available agent frameworks or AI safety benchmarking tools.

🏝️ Benefits

• Equity

• Comprehensive benefits package

• Competitive salary