Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
LLM
Machine Learning @ 3
Reinforcement Learning @ 2
Security @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic's Security team protects the company's AI systems and maintains the trust of its users and society. This role combines machine learning research, software engineering, and defensive cybersecurity to advance the capabilities of AI systems safely.
Responsibilities
- Design and implement reinforcement learning environments.
- Conduct experiments and evaluations.
- Deliver work into production training runs.
- Partner with researchers and safety teams across Anthropic to understand analytical needs and build solutions.
- Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings.
- Contribute to the team's strategic direction, including decisions about what to build, what to partner on, and where to invest.
- Collaborate with researchers, engineers, and cybersecurity specialists inside and outside Anthropic.
- Participate in an on-call rotation when required.
Requirements
- Experience with machine learning.
- Experience in cybersecurity research.
- Strong software engineering skills.
- Ability to balance research exploration with engineering implementation.
- Passion for AI's potential and commitment to developing safe and beneficial systems.
- Bachelor's degree or an equivalent combination of education, training, and experience.
- Education, training, or professional experience in a field relevant to the role.
Preferred Qualifications
- Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work.
- Experience participating in or building CTF competitions and cyber ranges.
- Academic research experience in cybersecurity or another experimental or research background.
- Familiarity with reinforcement learning techniques and environments.
- Familiarity with large language model training methodologies.
Compensation and Logistics
- Annual salary: $1–$2 USD.
- Anthropic expects staff to work from one of its offices at least 25% of the time under its current location-based hybrid policy, though some roles may require more office time.
- Anthropic sponsors visas, although sponsorship cannot be guaranteed for every role or candidate.
- Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
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