"interpretability" Jobs
849 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 849 results
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 Research Fellow to work on AI interpretability projects with leading researchers in a collaborative environment.
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.
Lead Goodfire's brand and communications strategy to shape the narrative around AI interpretability and alignment.
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.
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.
Manage policies to prevent AI misuse for deception and surveillance at Anthropic, ensuring safety and integrity in AI systems.
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 an Enforcement Analyst to investigate AI behavior and ensure safe and beneficial AI systems.
Join Anthropic as a Staff Software Engineer to drive reinforcement learning efforts and design systems for coding capabilities.