Research Engineer, Cybersecurity RL
Anthropic
Summary
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.
Job description
About the role
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.
You may be a good fit if you:
- Have experience in cybersecurity research.
- Have experience with machine learning.
- 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.
- Familiarity with RL techniques and environments.
- Familiarity with LLM training methodologies.
Requirements
- Experience in cybersecurity research
- Experience with machine learning
- Strong software engineering skills
- Ability to balance research exploration with engineering implementation
- Bachelor's degree or equivalent combination of education, training, and/or experience
- Field of study relevant to the role
Benefits
- Competitive compensation
- Equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours
Company overview
Anthropic is a leading artificial intelligence research company founded in 2021 and headquartered in San Francisco, California. The company specializes in developing safe, reliable, interpretable, and steerable AI systems with a strong emphasis on AI safety and ethical development. Anthropic's flagship product is Claude, an advanced AI assistant capable of handling complex tasks at any scale, which has gained significant traction in enterprise applications. The company was founded by former OpenAI executives Dario Amodei (CEO) and Daniela Amodei (President), bringing extensive experience in AI research and safety. Anthropic's research interests span multiple areas including natural language processing, human feedback systems, scaling laws, reinforcement learning, code generation, and AI interpretability. With a valuation reaching $18.4 billion and significant funding rounds, Anthropic has established itself as a major player in the competitive AI landscape, focusing on providing trustworthy AI solutions for enterprise clients while advancing the frontier of AI safety research.