Anthropic

Research Engineer, Cybersecurity RL (Reinforcement Learning)

Anthropic
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14 hours ago
San Francisco, CA, USA or New York, NY, USASenior
H1B sponsor

Base Salary

$1 - $2/yr

Responsibilities

  • Partner with researchers and safety teams to understand analytical needs and build solutions.
  • Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings.
  • Design and implement reinforcement-learning environments, conduct experiments and evaluations, and deliver work into production training runs.
  • Contribute to strategic decisions about what to build, partner on, and invest in.
  • Collaborate with researchers, engineers, and cybersecurity specialists across and outside Anthropic.
  • Potentially participate in an on-call rotation.

Requirements

  • Experience with machine learning.
  • Experience in cybersecurity research.
  • 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 demonstrated through coursework, training, or professional experience.
  • Commitment to developing safe and beneficial AI systems.

Benefits

  • Visa sponsorship is offered, with reasonable efforts made to obtain a visa if Anthropic extends an offer.
  • Hybrid work policy currently requires staff to work from an Anthropic office at least 25% of the time, with some roles requiring more.
  • Competitive compensation and benefits.
  • Optional equity donation matching.
  • Generous vacation and parental leave.
  • Flexible working hours and office collaboration space.
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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