Jack & Jill/External ATS
Research Engineer - AI Safety at mission-driven AI company
Jack & Jill/External ATS, San Francisco, California, United States, 94199
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Research Engineer
Company Description
Mission-driven AI research company Job Description
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. Location3>
San Francisco, USA 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. 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. The ideal candidate
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. How to Apply
To apply for this job speak to Jack, our AI recruiter. Step 1. Visit our website Step 2. Click 'Speak with Jack' Step 3. Login with your LinkedIn profile Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions Step 5. If the hiring manager would like to meet you, Jack will make the introduction
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Company Description
Mission-driven AI research company Job Description
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. Location3>
San Francisco, USA 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. 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. The ideal candidate
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. How to Apply
To apply for this job speak to Jack, our AI recruiter. Step 1. Visit our website Step 2. Click 'Speak with Jack' Step 3. Login with your LinkedIn profile Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions Step 5. If the hiring manager would like to meet you, Jack will make the introduction
#J-18808-Ljbffr