Research Engineer, Clio

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Research Engineer on the Clio team will maintain and enhance critical infrastructure that powers Anthropic's research efforts. You will work with systems that process data at large scales and serve many internal teams across the organization, enabling researchers, safety teams, and other colleagues by ensuring research tools are reliable, efficient, and privacy-preserving. This role involves close collaboration across teams (Finetuning, RL Research, Societal Impacts, Safeguards, Communications, customer success) to translate diverse needs into robust technical solutions and support the full lifecycle of research tools.

Responsibilities

• Enable Anthropic researchers to analyze large sets of Claude usage while preserving user privacy.
• Maintain systems that perform challenging dataset clustering and hierarchy-building.
• Debug data processing pipelines that may encounter difficult issues (e.g., concurrency inefficiencies, errors obscured by inter-process communications).
• Implement monitoring systems for tools that process large datasets.
• Work with internal users across teams to understand their needs and prioritize fixes and features.
• Work toward intuitive interfaces — both command-line and frontend — for research tools.
• Optimize research tools for speed and efficient resource usage.
• Enhance user data privacy protections, ensuring clear and auditable data handling practices.
• Write and maintain related documentation.

Requirements

• 5+ years of software engineering experience with a track record of building and maintaining production systems (machine-learning-specific background is not required).
• Highly proficient in Python.
• Experience with data infrastructure and large datasets in production environments.
• Comfortable working independently while maintaining collaborative relationships across teams.
• Excellent communication skills and the ability to work with diverse stakeholders to understand and solve technical challenges.
• Experience with cloud infrastructure platforms such as AWS or GCP.
• Commitment to developing AI systems responsibly and concern for societal impacts of the work.
• We require at least a Bachelor's degree in a related field or equivalent experience.

Strong candidates may also have experience with

• High-performance, large-scale ML systems and distributed computing.
• Kubernetes and container orchestration platforms.
• GPU computing and optimization for specialized hardware.
• Highly concurrent systems.
• Productizing research tools and transitioning prototypes to production.
• Privacy-preserving technologies and secure data handling practices.

Logistics

• Locations: San Francisco, CA and New York City, NY.
• Location-based hybrid policy: staff are expected to be in one of Anthropic's offices at least 25% of the time; some roles may require more office time.
• Visa sponsorship: Anthropic does sponsor visas and retains an immigration lawyer to support offers, though not every role/candidate can be successfully sponsored.
• Education: At least a Bachelor's degree in a related field or equivalent experience is required.

Compensation

• Annual Salary: $340,000 - $425,000 USD

How we work / Culture

• Anthropic values large-scale, high-impact AI research, strong collaboration across a single cohesive team, and clear communication. The organization emphasizes research as an empirical science and encourages diverse perspectives.

Benefits

• Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.

Application

• Applications are reviewed on a rolling basis. Candidates are encouraged to apply even if they do not meet every qualification listed.