Research Engineer (Cybersecurity Reinforcement Learning)

SupportFinity™; San Francisco (CA); On-site; USD 300,000 - 405,000; Full time

Benefits offered by this job

Competitive compensation and benefits.

Optional equity donation matching.

Generous vacation and parental leave.

Flexible working hours.

A lovely office space to collaborate

Job summary

Anthropic is seeking a Research Engineer on the Cybersecurity Reinforcement Learning team to advance safe AI through secure coding, vulnerability remediation, and defense-focused RL research.

You will design and implement RL environments, conduct experiments, deliver results into production training runs, and collaborate with researchers, engineers, and cybersecurity specialists across Anthropic.

Qualifications

• Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy requires staff to be in office at least 25% of the time.
• Visa sponsorship available, with efforts to help candidates obtain a visa.

Responsibilities

• Design and implement RL environments for cybersecurity tasks.
• Run experiments and evaluations of models.
• Deliver work into production training runs.
• Collaborate with researchers, engineers, and cybersecurity specialists across Anthropic.

Skills

Cybersecurity research

Machine Learning

Software Engineering

Research & Engineering

Education

Bachelor's degree

Job description

Research Engineer, Cybersecurity Reinforcement Learning

Anthropic |

Anthropic | Posted Mar 9

Full-time

Unknown

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About Horizons

The Horizons team leads Anthropic's reinforcement learning (RL) research and development, playing a critical role in advancing our AI systems. We've contributed to every Claude release, with significant impact on the autonomy, coding, and reasoning capabilities of Anthropic's models.

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.

The annual compensation range for this role is listed below.

Annual Salary

$300,000—$405,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on a few large-scale research efforts. We value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We are an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. We value communication skills.

Anthropic is a public benefit corporation headquartered in San Francisco.

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• A lovely office space to collaborate with colleagues.

Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process