Sr. Staff AI Engineer, GenAI Safety

LinkedIn is seeking a Sr. Staff AI Engineer to join its GenAI Safety team, responsible for shaping the company's generative AI safety direction, leading AI safety research and innovation, and designing safety-first foundations. The role requires a strong technical background in AI and machine learning, with experience in leadership, collaboration, and mentoring. The team is committed to creating a culture of trust, care, inclusion, and fun, with a focus on the well-being of employees and their families. LinkedIn offers generous health and wellness programs, time away, and competitive compensation packages, including annual performance bonus, stock, benefits, and/or other incentive compensation plans.

Requirements

• 2+ years as a Technical Lead, Staff Engineer, Principal Engineer, or equivalent
• 5+ years of industry experience in AI or Machine Learning Engineering
• BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience
• 10+ years of industry and/or research experience in AI/ML delivering impact at scale
• PhD in CS/AI/ML or related field (or equivalent research/industry achievements)
• Expert understanding of Transformers; hands-on experience training, fine-tuning, distilling/compressing, and deploying LLMs in production
• Track record applying LLMs to recommender systems and language agents
• Demonstrated leadership in red-teaming (manual + automated), safety benchmarking/evaluations, content safety/guardrails, prompt-injection/jailbreak detection, and abuse/misuse prevention
• Experience translating Legal/Compliance requirements (e.g., EU AI Act) into technical controls, including harm taxonomies, model cards, and risk assessments
• Proven ability to design safety-first architectures (evaluation pipelines, moderation services, policy engines, incident response & telemetry) for distributed, real-time ML systems
• Strong understanding of RL (e.g., RLHF/RLAIF, offline/online RL) for language-based agents, including safety-aware reward design and feedback loops
• Advanced Python and PyTorch; familiarity with TensorFlow
• Experience with safety evaluation tooling (e.g., platforms akin to LLUME) and safety datasets/benchmarks
• Significant contributions via top-tier publications (NeurIPS, ICLR, ICML, ACL) and/or impactful open-source or widely used safety tooling
• Proven technical leadership mentoring ~15 engineers, setting direction, and elevating execution quality
• Effective liaison with Product Engineering (tracking experiments and venture bets; aligning safety research to upcoming bets) and strong collaboration with Legal, Compliance, AI Infra, and Policy

Benefits

• Generous Paid Time Off
• 401k Matching
• Health and Wellness Programs
• Annual Performance Bonus
• Stock
• Benefits
• Other Incentive Compensation Plans