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Research Scientist, AI Safety and Alignment

Summary by AIEngineer.careers

Research Scientist, AI Safety and Alignment is a AI Safety Engineer role (full-time). with Scale AI. in SAN FRANCISCO, US. Compensation shown: $259K–$324K. Imported listing (source: careerholo.com). Apply on the employer's site (careerholo.com).

Imported listing (source: careerholo.com) · Apply on careerholo.com

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SAN FRANCISCO · US
$259K–$324K
Full-time
SENIOR
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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from careerholo.com

Scale Labs is hiring a Research Scientist to advance technical AI safety and alignment research on frontier models and agents. You will design control protocols, build alignment evaluations, and study monitorability and multi-agent risks, publishing findings and informing policymakers. The role bridges frontier AI research and policy through collaboration with industry, government, and academia.

Responsibilities

  • Design and stress-test control protocols and monitoring systems to detect and limit unsafe model and agent behavior
  • Build alignment evaluations probing deception, sabotage, scheming, and reward hacking
  • Study monitorability and whether model reasoning stays faithful and legible for supervision
  • Investigate emergent risks in multi-agent systems such as collusion and coordination failures
  • Develop threat models and evaluations for AI systems that automate AI R&D
  • Collaborate with government agencies and labs to scope and design risk evaluations
  • Publish research and write technical reports for policymakers

Requirements

  • Commitment to promoting safe, secure, and trustworthy AI
  • Practical experience conducting technical research collaboratively
  • Comfort building and instrumenting ML pipelines and evaluation harnesses
  • Familiarity with current AI safety and alignment research
  • Track record of published ML research, particularly in AI safety and alignment
  • At least three years of experience on sophisticated ML problems in research or product development
  • Strong written and verbal communication skills

Nice to Have

  • Experience designing evaluations and benchmarks or analyzing model/agent trajectories at scale
  • Experience with red-teaming or adversarial testing of AI systems
  • Familiarity with AI safety policy and governance frameworks (NIST AI RMF, EU AI Act, Korea AI Basic Act)

Benefits

Health insurancedental insurancevision insuranceretirement planlearning stipendptocommuter stipendEquity / stock options

Tech Stack

AI AlignmentEvaluation HarnessesMachine LearningMulti-agent SystemsPyTorchRed Teaming
Scale AI

Scale AI

San Francisco · US · 1000+ employees

Scale AI is a technology company that provides data-centric AI solutions, including high-quality training data, model evaluation, and full-stack AI technologies. They enable enterprises and government agencies to build, deploy, and oversee reliable AI systems for critical decision-making.

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