Join Anthropic as a Research Engineer to advance AI capabilities in cybersecurity through innovative research and engineering.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 3 hours ago
Skills & Technologies
What you'll build
- Partner with researchers and safety teams to build solutions
- Develop agentic integrations for AI systems
- Contribute to the strategic direction of the team
Must have
- Experience with machine learning
- Experience in cybersecurity research
- Strong software engineering skills
Nice to have
- Professional experience in security engineering
- Experience in CTF competitions
- Familiarity with RL techniques
Practical constraints
- Participation in an on-call rotation
- In-office at least 25% of the time
Requirements
- Education
- Bachelor's degree
- Visa
- Sponsorship available
Not disclosed in this posting: years of experience.
Benefits
Joblaze summary
In the role of Research Engineer focused on Cybersecurity Reinforcement Learning at Anthropic, the individual will engage in developing and implementing advanced AI systems to enhance security measures, including incident response and vulnerability remediation. This position requires a solid foundation in machine learning and cybersecurity, along with strong software engineering skills to translate research into practical applications. Ideal candidates are likely to have a background in either machine learning research or cybersecurity, with a preference for those who can navigate both domains effectively. Anthropic's collaborative environment emphasizes impactful research, making it suitabl
Joblaze insights
- Listed yesterday — first seen on Joblaze November 7, 2026. Last confirmed on Anthropic's careers page November 8, 2026.
- This exact title is also open at 2 other locations at Anthropic: Zürich, CH, San Francisco, CA | New York City, NY.
- Salary band is below the typical range for Security roles (median ~$170,000).
- Cybersecurity appears in 4.1% of 220 comparable mid security roles in United States; Machine Learning appears in 0.5% of 220 comparable mid security roles in United States.
Quick facts
- Is the Research Engineer, Cybersecurity RL (Reinforcement Learning) role remote?
- It's hybrid — Anthropic expects some on-site time in San Francisco, CA | New York City, NY.
- What's the salary range?
- Anthropic lists $1–$2 for this role.
- Where is the role based?
- Anthropic is hiring for this position in San Francisco, CA | New York City, NY.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Cybersecurity, Machine Learning, reinforcement learning.
- Does Anthropic sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Anthropic targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Research Engineer, Cybersecurity RL (Reinforcement Learning) role at Anthropic.
From the original posting
About Anthropic
About the Team
The Security team protects Anthropic's AI systems and maintains the trust of our users and society.
About the Role
At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity.
This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic.
This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML.
Responsibilities
Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions
Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings
Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest
This role may require participation in an on-call rotation.
You may be a good fit if you
Have experience with machine learning.
Have experience in cybersecurity research.
Have strong software engineering skills.
Can balance research exploration with engineering implementation.
Are passionate about AI's potential and committed to developing safe and beneficial systems.
Strong candidates may also have
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 other experimental & research background.
Familiarity with RL techniques and environments.
Familiarity with LLM training methodologies.
The annual compensation range for this role is listed below.
Logistics
Standard company text repeated across Anthropic's postings is omitted here.