Research Engineer, Discovery
Anthropic · San Francisco, CA
CHECKED 4H AGO
Frontier labonsitesenior$350k–$850k
At a glance
Highlights
- Help build an AI scientist capable of pushing the scientific frontier.
- Work end to end across the model stack to unblock scientific AGI.
- Build reliable evaluation frameworks for long-horizon scientific tasks.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Collaborative office space
Ideal candidate
Infrastructure engineer with 6+ years scaling distributed systems who thrives in fast-paced research environments. Collaborative problem-solver excited to unblock scientific AGI and turn experiments into production.
Requirements
- 6+ years of highly-relevant experience in infrastructure engineering with expertise in large-scale distributed systems
- Strong communicator who enjoys working collaboratively
- Deep knowledge of performance optimization for high-throughput ML workloads
- Experience with containerization technologies and orchestration at scale
- Proven track record building large-scale data pipelines and distributed storage systems
- Excel at diagnosing and resolving complex infrastructure challenges in production
- Bachelor's degree or equivalent combination of education, training and experience
- remote policy
- Hybrid - in office at least 25% of the time, some roles may require more
- visa sponsorship
- We sponsor visas, but sponsorship not guaranteed for every role and candidate
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