AI Engineering Manager, GenAI Safety

LinkedIn is the world's largest professional network, built to help members achieve more in their careers and create economic opportunity.
$245,000 - $268,000
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI
This job posting may no longer be active. You may be interested in these related jobs instead:
Staff Software Engineer, AI Platform

Staff Software Engineer position at LinkedIn focusing on AI Platform development, including model training infrastructure, feature engineering, and model serving at scale.

Staff Software Engineer, AI Platform

Staff Software Engineer position at LinkedIn focusing on scaling AI infrastructure, including model training, feature engineering, and serving systems for large-scale machine learning applications.

Staff Software Engineer, AI Platform

Staff Software Engineer position at LinkedIn focusing on AI Platform development, scaling large models, and leading technical initiatives in machine learning infrastructure.

Senior Staff AI Engineer - Marketing Solutions Agentic Team

Senior Staff AI Engineer position at LinkedIn focusing on building AI agents for Marketing Solutions, requiring expertise in machine learning and large language models.

AI Solution Architect

AI Solution Architect position at Oracle focusing on developing and implementing AI features and solutions for business growth.

Description For AI Engineering Manager, GenAI Safety

LinkedIn is seeking an AI Engineering Manager to lead their LLM Safety team, a critical component in ensuring AI Safety across all GenAI product launches. This role presents a unique opportunity to shape the future of responsible AI development at the world's largest professional network.

The position requires a blend of technical expertise and leadership skills, with the successful candidate leading a team of talented AI research engineers. You'll be responsible for driving strategy, research, and development of innovative solutions to assess and manage the safety and reliability of GenAI products. This includes addressing key challenges in fairness, bias mitigation, hallucinations, and robustness.

Key responsibilities include defining and executing a robust roadmap for LLM safety, collaborating with internal and external vendors for data labeling, and working cross-functionally with Product, Legal, and Policy teams. You'll enhance LinkedIn's GenAI platform to provide scaled capabilities for red-teaming of GenAI products while ensuring smooth governance processes.

The ideal candidate brings 5+ years of industry experience in Machine Learning, with at least 1 year of management experience leading AI/ML engineering teams or equivalent Staff-level experience. Strong technical foundations in data modeling and machine learning are essential, along with expertise in LLMs, agentic systems, and AI safety challenges.

LinkedIn offers a competitive compensation package including base salary ($245,000-$268,000), annual bonus, and RSUs. The company provides comprehensive benefits including health and wellness programs, generous time off, and a hybrid work environment based in Sunnyvale, CA.

This role offers the opportunity to work at the forefront of AI safety, influencing thought leadership in Responsible AI while building and leading a high-performing team. You'll be part of LinkedIn's mission to create economic opportunity for every member of the global workforce, while ensuring the safe and responsible deployment of AI technologies.

Last updated 3 months ago

Responsibilities For AI Engineering Manager, GenAI Safety

  • Lead and inspire a team of AI research engineers
  • Drive strategy, research, and development of innovative solutions for GenAI safety
  • Define and execute roadmap for LLM safety
  • Work with vendors for data labeling needs
  • Collaborate cross-functionally with Product, Legal, and Policy teams
  • Enhance LinkedIn's GenAI platform for red-teaming capabilities
  • Foster culture of innovation and continuous learning
  • Manage team growth and career development

Requirements For AI Engineering Manager, GenAI Safety

Python
  • 1+ year(s) of management experience leading AI/ML engineering team or 1+ year(s) Staff level AI/ML engineering experience
  • 5+ years of related industry experience in Machine Learning
  • BA/BS in Computer Science or related technical discipline
  • Hands on experience in data modeling and machine learning
  • Expertise in LLMs, agentic systems, and AI safety challenges
  • Exceptional strategic thinking and technical communication skills

Benefits For AI Engineering Manager, GenAI Safety

Medical Insurance
Vision Insurance
Dental Insurance
401k
Parental Leave
  • Annual Bonus
  • RSUs (Restricted Stock Units)
  • Health and wellness programs
  • Generous time off
  • Comprehensive benefits package

Interested in this job?