Senior Staff AI Engineer, Notifications AI

LinkedIn•Mountain View, CA

4d•Hybrid

About The Position

The Notification AI team builds large-scale, high-quality machine learning systems that deliver the right content to the right member, through the right channel, at the right time—and at the right frequency. Our mission is to maintain a healthy, relevant, and delightful notification ecosystem that helps members achieve their professional goals while ensuring every interaction provides meaningful value. We power AI-driven systems that target, rank, and make decisions across LinkedIn’s notification portfolio, enabling product teams to deliver member value efficiently and responsibly. Notifications AI directly shapes the value members get from the platform, driving over 50% of total engagement on LinkedIn and helping millions of professionals reconnect with opportunities that matter. Our work spans large language models, recommendation systems, and scalable architectures that deepen LinkedIn’s understanding of members—their skills, journeys, and evolving intent—so we can surface the most relevant content, jobs, and connections to help them grow their professional networks meaningfully. The team has an ambitious roadmap and partners closely with Product, Engineering, and Data Science to deliver scalable, leverageable AI solutions with global member impact. If you’re looking to lead a highly visible, fast-moving, and exceptionally talented team at the intersection of cutting-edge research and real-world impact—and have fun while doing it—Notifications AI is the place for you!

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

Nice To Haves

10+ years of industry experience.
4+ years of technical leadership (Staff+) experience, including recent experience at the Senior Staff / L7 / Principal Engineer level.
Ph.D. in Computer Science, Machine Learning, Natural Language Processing, or a related discipline.
Prior experience with large scale ML data infrastructure
Experience with developing and designing production scale recommender system products.
Published work in academic conferences or industry circles.

Responsibilities

Strategize, drive, and execute next generation AI solutions for our Notifications AI team, partnering closely with many other teams and providing technical/thought leadership for a group of 10-20 engineers.
Lead a team of scientists and machine learning engineers that build and own personalization algorithms, models, and systems.
Provide significant contributions to the team’s core modeling efforts and mid/long term direction.
Actively participate in key technical and design discussions with technical leads in the team, and also contribute to coding and modeling efforts.
Collaborate with platform engineering, product, data science and partner teams to design machine learning solutions to power Network Growth ecosystem and optimize member experience.
Operate best engineering and scientific practices & processes to ensure productivity of the team and drive faster iterations via A/B experiments.
Work with peers across teams to support and leverage a shared technical stack.
Coach the team to produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.