Defensive AI/ML Research Engineer (RL)

Digitailor

New York (NY)

On-site

USD 150,000 - 280,000

Full time

3 days ago
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Job summary

Anthropic is seeking a Research Engineer to blend ML research with cybersecurity to safely advance AI capabilities. You will design RL environments, experiment, and deploy results into production training runs while collaborating with researchers, engineers, and cybersecurity specialists across and outside Anthropic.

The role requires ML experience and domain expertise in cybersecurity, along with strong software engineering skills and a drive to build safe, beneficial AI systems.

Qualifications

  • Bachelor’s degree or equivalent in a relevant field.
  • Experience in ML and cybersecurity research preferred.
  • Strong software engineering skills.

Responsibilities

  • Partner with researchers and safety teams to understand analytical needs and build solutions
  • Develop agentic integrations for autonomous investigation and action
  • Contribute to strategic direction of the team and investments
  • May require participation in an on-call rotation
  • ML experience and cybersecurity background are highly desired
  • Strong software engineering skills and ability to balance research with implementation
  • Experience in security engineering, fuzzing, detection and response is a plus
  • Familiarity with RL techniques, RL environments, and LLM training methodologies

Skills

ML experience
Cybersecurity research
Software engineering
On-call readiness

Education

Bachelor’s degree

Tools

RL environments
LLM training methodologies

Job description

Anthropic is seeking a Research Engineer to blend ML research with cybersecurity to safely advance AI capabilities. You will design RL environments, experiment, and deploy results into production training runs while collaborating with researchers, engineers, and cybersecurity specialists across and outside Anthropic.

The role requires ML experience and domain expertise in cybersecurity, along with strong software engineering skills and a drive to build safe, beneficial AI systems.

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