Used Tools & Technologies
Not specified
Required Skills & Competences ?
Kubernetes @ 3 Python @ 5 GCP @ 3 AWS @ 3 Communication @ 3 GPU @ 3Details
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We aim to make AI safe and beneficial for users and society. The team includes researchers, engineers, policy experts, and business leaders working together on beneficial AI.
Responsibilities
- Enable analysis of large Claude usage datasets while preserving user privacy.
- Maintain systems for dataset clustering and hierarchy-building.
- Debug data processing pipelines including concurrency inefficiencies and IPC errors.
- Implement monitoring systems for large dataset processing tools.
- Collaborate with internal teams to understand needs and prioritize features/fixes.
- Develop intuitive command-line and frontend interfaces for research tools.
- Optimize research tools for speed and efficient resource use.
- Enhance user data privacy and ensure auditable handling.
- Write and maintain documentation.
Requirements
- 5+ years of software engineering experience in production systems; ML-specific background not required.
- High proficiency in Python.
- Experience with data infrastructure and large production datasets.
- Ability to work independently and collaboratively.
- Excellent communication skills.
- Experience with cloud platforms such as AWS or GCP.
- Willingness to work beyond primary responsibilities to advance organizational goals.
- Commitment to responsible AI development and awareness of societal impacts.
Strongly Preferred Experience
- High-performance large-scale ML systems and distributed computing.
- Kubernetes and container orchestration.
- GPU computing and hardware optimization.
- Highly concurrent systems.
- Productizing research tools from prototype to production.
- Privacy-preserving technologies and secure data handling.
Benefits & Additional Information
- Bachelor's degree or equivalent experience required.
- Location-based hybrid policy: expected in-office presence at least 25%.
- Visa sponsorship available when applicable.
- Inclusive and diverse workplace encouraging all applicants.
- Competitive compensation and benefits, equity donation matching, generous leave, flexible work hours, and collaborative office spaces.
- Commitment to high-impact AI research and collaborative environment.
Deadline to apply: None. Applications reviewed on a rolling basis.