Anthropic

Research Engineer, Cybersecurity RL

Anthropic
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3 days ago
San Francisco, CA, USA or New York, NY, USASenior
H1B sponsor

Base Salary

$500k - $850k/yr

Responsibilities

  • Design and implement reinforcement-learning environments.
  • Develop novel approaches and realize them in code.
  • Conduct experiments and evaluations.
  • Deliver research into production training runs.
  • Collaborate with researchers, engineers, and cybersecurity specialists on defensive AI capabilities.

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 an equivalent combination of education, training, and/or experience in a relevant field.
  • Strong candidates may have professional experience in security engineering, fuzzing, detection and response, CTF competitions, cyber ranges, academic cybersecurity research, RL techniques and environments, or LLM training methodologies.

Benefits

  • Annual salary range of $500,000–$850,000 USD.
  • Visa sponsorship is offered, subject to role and candidate eligibility and Anthropic’s ability to successfully sponsor the visa.
  • Hybrid work policy requiring staff to be in an Anthropic office at least 25% of the time, with some roles requiring more office time.
  • Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and collaborative office space.

Categories

AI ResearchML Engineering
Anthropic

About Anthropic

5,001-10,000 employees

Anthropic builds large language models and the Claude AI assistant for developers and enterprises, offered via API access and enterprise plans. Founded in 2021 and headquartered in San Francisco, it distributes Claude through its own platform and via partners such as Amazon Bedrock and Google Cloud’s Vertex AI. Its work emphasizes model reliability, interpretability, and practical tooling for tasks like coding assistance, analysis, and customer support automation.

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