ML/Research Engineer, Safeguards
Anthropic · San Francisco, CA | New York City, NY · San Francisco, CA
CHECKED 3H AGO
Frontier labonsite$350k–$500k
At a glance
Highlights
- Build classifiers to detect misuse and anomalous behavior at scale.
- Monitor multi-exchange harms like cyber attacks and influence operations.
- Improve safety of agentic products and defend against prompt injection.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Collaborative office space
Ideal candidate
ML engineer with 4+ years taking ideas from experiment to production who cares deeply about preventing AI misuse. Collaborative communicator motivated by AI safety and protecting user wellbeing.
Requirements
- 4+ years of experience in ML engineering, research engineering, or applied research
- Proficiency in Python and experience building ML systems
- Comfortable working across research-to-deployment pipeline
- Concerned about misuse risks of AI systems and motivated to mitigate them
- Strong communication skills with ability to explain technical concepts to non-technical stakeholders
- Bachelor's degree or equivalent combination of education, training and/or experience
- remote policy
- Hybrid - in office at least 25% of the time, some roles may require more
- visa sponsorship
- Visa sponsorship available, but 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