Senior Staff Ai Engineer, Network Growth Ai

LINKEDIN

Sunnyvale, CA, United States
Base: $191,000 - $315,000; bonus/equity: annual pe...
On-site
Sequence modeling
Large language models
Graph neural networks
The Network Growth and Relationship AI team builds scalable machine learning models and advanced AI systems that help millions of LinkedIn members expand their networks, discover new opportunities, and deepen professional relationships

Job Summary

  • The Network Growth and Relationship AI team builds scalable machine learning models and advanced AI systems that help millions of LinkedIn members expand their networks, discover new opportunities, and deepen professional relationships.
  • As a senior technical leader, you will be responsible for leading a team of scientists and machine learning engineers that build and own personalization algorithms, models, and systems, driving core modeling initiatives.
  • LinkedIn offers generous health and wellness programs and time away for employees of all levels, fostering a culture built on trust, care, inclusion, and fun.

Matching Summary

The Network Growth and Relationship AI team builds scalable machine learning models and advanced AI systems that help millions of LinkedIn members expand their networks, discover new opportunities, and deepen professional relationships.

Salary

Base: $191,000 - $315,000; Bonus/Equity: Annual performance bonus, stock, and/or other applicable incentive compensation plans; Benefits: Health and wellness programs, time away

Skills & Requirements

Must-have

  • Sequence Modeling
  • Large Language Models
  • Graph Neural Networks
  • Generative Recommendation
  • Production Scale Recommender Systems

Nice-to-have

  • Leading highly visible teams
  • Fast-paced environment
  • Publishing in top conferences
  • Collaboration with product teams

Key Requirements

  • 2+ years of experience as a Technical Lead
  • 5+ years of overall industry experience in AI / Machine Learning
  • Bachelor’s, Master’s, or PhD Degree in Computer Science, Machine Learning, or related technical discipline or equivalent practical experience
  • 10+ years of industry experience
  • 4+ years of technical leadership (Staff+) experience
  • Ph.D. in Computer Science, Machine Learning, Natural Language Processing, or a related discipline

Work Rights

Not specified

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