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Summary
About the Role
About You
- B.S./M.S. in Computer Science or related quantitative field with 5+ years of relevant experience.
- Demonstrated experience in training or fine-tuning generative models to improve capabilities.
- Experience with JAX, PyTorch, or similar machine learning platforms.
- Demonstrated experience in Python through strong artifacts in building readable, scalable, reusable ML software.
- Demonstrated experience in adapting research outputs into impactful model improvements.
- Research experience and publications in ML security, privacy, safety, or alignment.
- Being motivated to solve security and privacy issues with frontier models.
Benefits
- Competitive base salary between $166k–$244k + bonus + equity + benefits.
- Opportunities for professional development and education.
We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.