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Research Engineer - AI Safety at mission-driven AI company

Are you passionate about ensuring the safe development of advanced AI? Join a mission-driven AI company as a Research Engineer to bridge cutting-edge theory with practical implementation. You'll build critical infrastructure and conduct experiments on frontier models, making a tangible impact on AI alignment and robustness. This is your chance to shape the future of AI responsibly.

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Location

San Francisco, United States

Compensation

Not Disclosed

Company

Confidential company

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Role overview

Join a mission-driven AI company as a Research Engineer to bridge theoretical AI safety research with practical implementation. You will build critical infrastructure and conduct cutting-edge experiments on frontier AI models, ensuring advanced AI systems are developed and deployed safely. This role offers a unique opportunity to make a significant impact on the future of AI.

About the company

Mission-driven AI research company

What you will do

  • Build and maintain robust research infrastructure, including evaluation frameworks and automated pipelines for frontier models (10B-100B+ parameters).
  • Design and execute scientific experiments to test hypotheses about AI safety, alignment, interpretability, or robustness.
  • Collaborate closely with research scientists, ML engineers, and safety evaluators to translate insights into empirical validation.

Who this is a fit for

  • Possesses 4-6 years of professional experience in software engineering, ML engineering, or a related technical role.
  • Demonstrates strong proficiency in Python with experience in modern ML frameworks like PyTorch, JAX, or TensorFlow.
  • Has hands-on experience with LLM-based systems and familiarity with AI safety concepts and research areas.

Why this role is remarkable

  • Make a meaningful impact on the future of AI safety by working on pressing challenges in alignment, interpretability, and robustness.
  • Collaborate with leading experts and gain early access to unreleased frontier AI models from top-tier labs.
  • Bridge the gap between theoretical research and practical application, building critical infrastructure while conducting cutting-edge experiments.
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