"interpretability" Jobs
765 open tech roles matching “interpretability”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AI/ML, Python, SQL. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 765 results
Join Anthropic as a Software Engineer to build secure and scalable infrastructure for AI interpretability research.
Join Goodfire as a Machine Learning Engineer to build interpretable AI systems with a world-class team.
Join Goodfire to shape the future of AI systems with a world-class team dedicated to interpretability and safety.
Join Goodfire as a Research Scientist to develop techniques for understanding and steering large AI models with a mission-driven team.
Join Goodfire as a Product Engineer to build user-friendly AI systems with a focus on interpretability and product development.
Lead product marketing at Goodfire, shaping the narrative around AI interpretability for technical audiences.
Join Anthropic as a Staff Software Engineer to build next-generation observability systems for large-scale AI infrastructure.
Join Goodfire as the first in-house lawyer to build the legal foundation for AI interpretability and security.
Join Goodfire as a Technical Product Marketing Manager to translate complex AI concepts into clear narratives for technical audiences.
Lead a team of engineers to optimize Anthropic's inference infrastructure for AI systems.
Join Goodfire as a Forward Deployed Research Scientist to apply AI interpretability solutions directly with customers.
Join Anthropic as a Performance Engineer to optimize the inference engine for AI systems at scale.
Join Anthropic as a Research Engineer to build evaluation instruments for AI development in a remote-friendly environment.
Join Goodfire as a Business Operations Manager to drive operational excellence in a cutting-edge AI research company.
Join Goodfire as a senior leader to shape strategy and build high-performing teams in the AI interpretability space.
Join Anthropic as a Staff Software Engineer to drive reinforcement learning efforts and design systems for coding capabilities.