Description
About the Role
We are seeking a Research Engineer for the Cybersecurity RL team within Horizons at Anthropic. As a Research Engineer, you will help 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 realise 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.
Responsibilities
- Design and implement RL environments for cybersecurity applications
- Conduct experiments and evaluations to advance model capabilities
- Deliver work into production training runs
- Collaborate with researchers, engineers, and cybersecurity specialists
Requirements
- Experience in cybersecurity research
- Experience with machine learning
- Strong software engineering skills
- Ability to balance research exploration with engineering implementation
- Passionate about AI's potential and committed to developing safe and beneficial systems
Nice to 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
- Familiarity with RL techniques and environments
- Familiarity with LLM training methodologies
Logistics
- Annual salary: $500,000 - $850,000 USD
- Minimum education: Bachelor's degree or equivalent
- Required field of study: Relevant to the role
- Minimum years of experience: Correlates with internal job level requirements
- Location-based hybrid policy: 25% office time
- Visa sponsorship: Available
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space
For more fresh new jobs, check out yubhub.co.