Data Engineer, Safeguards
Anthropic · San Francisco, CA | New York City, NY · San Francisco, CA
CHECKED 4H AGO
Frontier labonsite$320k–$405k
At a glance
Highlights
- Build data pipelines powering safety monitoring and abuse detection at scale.
- Create visibility into model behavior and enforcement outcomes for Safeguards.
- Partner with research and policy teams to inform AI safety interventions.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
Ideal candidate
An experienced data engineer passionate about AI safety who thrives collaborating with engineers, scientists, and policy teams to turn large-scale safety data into reliable insights and enforcement.
Requirements
- Proficiency in SQL and Python, with hands-on experience building and maintaining ETL/ELT pipelines
- Experience with cloud data platforms such as BigQuery, Redshift, Snowflake, or similar
- Experience with modern data stack tools such as dbt, Airflow, Spark, or similar orchestration and transformation frameworks
- Experience building dashboards and data visualizations using tools such as Looker, Tableau, or Metabase
- Ability to communicate clearly and translate complex data concepts for both technical and non-technical audiences
- remote policy
- In office at least 25% of the time; some roles may require more time in office
- visa sponsorship
- We sponsor visas but cannot sponsor every role and candidate; reasonable effort to get visa if offer is made
Lab profile
About Anthropic
AI safety company building reliable, interpretable and steerable frontier AI systems.
What they build
- Claude
- Claude API
- Claude Code
Known for
- AI safety and alignment
- Model interpretability research
- Frontier LLM development
Key facts
- Founded in 2021
- Headquartered in San Francisco, California
- Backed by Amazon and Google