Research Engineer (Cybersecurity Reinforcement Learning)

Anthropic; York and North Yorkshire; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Parental leave

Flexible paid time off

Mental health support

Equity participation

Relocation support

Home office stipend

Commuter benefits

Education stipend

Job summary

Anthropic seeks a Research Engineer to advance safe AI through cybersecurity-focused RL, defense, and safe model training. You will design RL environments, run experiments, and push work into production training loops while collaborating with researchers, engineers, and cybersecurity specialists across and outside Anthropic.

The role blends research and engineering, requiring domain expertise in cybersecurity and interest in training safe AI models. Remote-friendly with relocation support.

Qualifications

• Strong software engineering skills with a focus on safe AI systems.
• Domain expertise in cybersecurity and defensive security.
• Experience with RL environments, experiments, and evaluations.

Responsibilities

• Design and implement RL environments for safe AI training.
• Conduct experiments, evaluations, and deploy production training runs.
• Collaborate with researchers, engineers, and cybersecurity specialists across and outside Anthropic.

Skills

Cybersecurity research

Machine learning / RL

Software engineering

Fuzzing

Detection & response

RL techniques familiarity

Tools

Python

TensorFlow/PyTorch

Job description

• We’re hiring for the Cybersecurity RL team within Horizons. As a Research Engineer, you’ll help to safely advance the capabilities of our models in secure coding, 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
• The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. For example, you might be a white hat hacker who’s curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office

Have strong software engineering skillsAre passionate about AI’s potential and committed to developing safe and beneficial systemsCan balance research exploration with engineering implementationHave experience in cybersecurity researchHave experience with machine learningProfessional experience in security engineering, fuzzing, detection and response, or other applied defensive workFamiliarity with RL techniques and environmentsExperience participating in or building CTF competitions and cyber rangesAcademic research experience in cybersecurityFamiliarity with LLM training methodologies