Research Engineer, Interpretability

Job Description

• Responsible for implementing and analyzing research experiments, both quickly in toy scenarios and at scale in large models • Setting up and optimizing research workflows to run efficiently and reliably at large scale • Building tools and abstractions to support a rapid pace of research experimentation • Developing and improving tools and infrastructure to support other teams in using Interpretability’s work to improve model safety

Qualifications

• Have 3-10+ years of experience building software • Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with python • Have a strong ability to prioritize and direct effort toward the most impactful work and are comfortable operating with ambiguity and questioning assumptions. • Want to learn more about machine learning research and its applications and collaborate closely with researchers • Care about the societal impacts and ethics of your work • Designing a code base so that anyone can quickly code experiments, launch them, and analyze their results without hitting bugs • Optimizing the performance of large-scale distributed systems • Collaborating closely with researchers, ML engineers, or data scientists • Language modeling with transformers • GPUs or Pytorch

Benefits

• Optional equity donation matching • Comprehensive health, dental, and vision insurance for you and all your dependents • 401(k) plan with 4% matching • 22 weeks of paid parental leave • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more! • Stipends for education, home office improvements, commuting, and wellness • Fertility benefits via Carrot • Daily lunches and snacks in our office • Relocation support for those moving to the Bay Area