Staff+ Software Engineer, ML Inference Path
Anthropic · San Francisco, CA
CHECKED 4H AGO
Frontier labonsitestaff$320k–$485k
At a glance
Highlights
- Build production infrastructure powering Claude's ML-based safety systems.
- Ship safeguards on the critical path for every Claude model launch.
- Serve thousands of classifiers across 1P, Bedrock, Vertex and beyond.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
Ideal candidate
A reliability-oriented engineer who loves turning safety research into robust production systems and cares deeply about AI safety and societal impact.
Requirements
- Proficient in Python with ML frameworks like PyTorch, TensorFlow, or JAX
- Understand distributed systems for high-throughput, low-latency workloads
- Built self-service deployment pipelines and eval infrastructure for models
- Implemented A/B testing and experimentation infrastructure for ML systems
- Bachelor's degree or equivalent combination of education, training, and experience
- remote policy
- Hybrid with at least 25% time in office
- visa sponsorship
- Visa sponsorship available, but not guaranteed for every role
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