Top Tech Jobs & Startup Jobs

The ML Infrastructure Engineer will develop and scale AI safety systems infrastructure, optimize machine learning pipelines, and ensure reliable system performance while collaborating with research teams.

Lead and grow an engineering team that builds and operates interventions between detection systems and users. Own roadmap, reliability, incident response, SLOs, cross-functional tradeoffs, measurement/evals, and production deployment across products and clouds to ensure safe model behavior.

Lead technical accounting for complex infrastructure and energy contracts, ensuring financial statement accuracy and compliance with relevant accounting standards.

The Research Engineer will enhance RL training infrastructure, streamline research processes, and collaborate with teams to improve model deployment efficiency.

The Software Engineer will build shared UI components and BFF APIs, enhance developer velocity, and improve platform reliability for Anthropic's products.

Join the Web Product team to develop features for Claude.ai, transform user interaction, and enhance AI collaboration. Full-stack work across frontend and backend.

The Product Manager will enhance developer productivity by managing build systems, CI/CD pipelines, and overseeing the developer experience in AI-assisted development, ensuring the efficient code deployment process across engineering teams.

Edit and write clear, accurate content for anthropic.com and other brand surfaces; maintain and apply the editorial style guide; manage publishing processes and templates; collaborate with editors, brand, design, and web teams to produce polished, timely web publications.

Design and conduct rigorous people research (experiments, longitudinal studies, psychometrics) to measure employee experience, manager effectiveness, and organizational health. Build surveys, analyze data with SQL/Python/R, create visualizations and dashboards, translate findings into recommendations, and partner with People stakeholders to inform people strategy.

Build and productionize threat discovery infrastructure: ingestion pipelines, automated detection systems, YARA rule tooling, external CTI integrations, behavioral analytics, and investigator-facing tooling to scale investigations and reduce false positives.