Description:

Design, build, and evaluate advanced machine learning systems for AI safety and model evaluation applications.
Collaborate with engineers, analysts, red teamers, and subject-matter experts to address ambiguous technical questions.

Requirements:

3–5+ years of experience in machine learning, research engineering, or a related technical field.
Strong Python skills and experience with ML frameworks such as PyTorch or JAX.
Hands-on experience with training, fine-tuning, or evaluating modern ML models.
Strong understanding of experimental design, model evaluation, and quantitative analysis.
Familiarity with agentic AI fundamentals and security risks to AI agents.
Experience in reinforcement learning, NLP/LLMs, computer vision, or multimodal ML.
Strong software engineering fundamentals and ability to work independently.

Salary Range: $130K–$200K, depending on experience and location.
Performance-based annual bonus.
Support for professional development, including conferences and continuing education.
Fully remote, U.S.-based work environment.
Comprehensive health, dental, and vision coverage.
Generous PTO and paid holiday schedule.

Skills

Benefits