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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, Inc. in SAN FRANCISCO, US. Compensation shown: $259K–$324K. Imported listing (source: justjobs.com). Apply on the employer's site (justjobs.com).

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

Scale Labs is hiring a Research Scientist for AI Safety and Alignment to conduct technical research on frontier AI risks. You will build evaluations, tools, and datasets to assess alignment, monitorability, and multi-agent failure modes, and publish findings for industry and policymakers. The role bridges frontier AI research and policy, collaborating with government agencies, academia, and other labs.

Responsibilities

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

Requirements

  • Commitment to safe, secure, and trustworthy AI
  • Practical experience 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

EU AI ActEvaluation HarnessesML pipelinesNIST AI RMFPythonPyTorchRed TeamingTensorFlow
Scale AI, Inc.

Scale AI, Inc.

San Francisco · US · 5925+ employees

Scale AI is a leading data infrastructure company that provides comprehensive solutions for training, evaluating, and deploying machine learning models. It supports organizations across various industries, including government and enterprise, by combining human-in-the-loop data labeling with model evaluation and safety alignment.

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