AI Engineering Manager, Notifications AI

Team Overview:

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 timeand 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 LinkedIns 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 LinkedIns understanding of memberstheir skills journeys and evolving intentso 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 youre looking to lead a highly visible fast-moving and exceptionally talented team at the intersection of cutting-edge research and real-world impactand have fun while doing itNotifications AI is the place for you!

Location:

At LinkedIn our approach to flexible work is centered on trust and optimized for culture connection clarity and the evolving needs of our business. The work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn office on select days as determined by the business needs of the team. 

This job is based in Sunnyvale CA. 

Key Responsibilities:

Lead a team of AI Scientists/Engineers to build scalable notification recommendation systems at Linkedin. Were looking for a technical manager with strong leadership technical vision and collaboration skills to drive impact and build great team culture.

Lead and inspire the team:
Manage and grow a high-performing team of researchers/applied scientists and engineers. Attract mentor and develop diverse talent while fostering an inclusive collaborative environment where people feel empowered to share ideas take smart risks and grow into technical leaders.

Set strategy and direction:
Translate product and business needs into a clear focused technical roadmap. Ensure the teams day-to-day work aligns with LinkedIns mission and long-term priorities. Partner with senior leadership to shape long-range AI and infrastructure strategy.

Advance state-of-the-art recommender systems:

Lead the team in developing and deploying scalable retrieval and ranking systems powered by large language models (LLMs) and advanced ML solutions to optimize notification timing and delivery decisions. Leverage LinkedIns rich data ecosystem to ground model outputs improve relevance and strengthen end-to-end notification quality. As a hands-on technical manager guide critical technical decisions and collaborate closely with technical leaders across the organization.

Ensure scalability and efficiency:

Collaborate with infrastructure and platform teams retrieval and serving system performance optimizations through advanced techniques like GPU-powered retrieval-as-ranking optimization adaptive caching and parameter-efficient fine-tuning. Maintain high standards for reliability scalability and latency.

Drive alignment and cross-functional collaboration:
Work closely with partner teams to identify shared opportunities align on long-term goals and maintain consistent progress. Address misalignments proactively with clarity empathy and data-driven reasoning.

Promote innovation and high-quality execution:
Create a culture that encourages experimentation curiosity and continuous improvement. Ensure the team adheres to strong engineering and scientific practices enabling rapid iteration through A/B testing and rigorous evaluation.

Qualifications :

Basic Qualifications:

• BA/BS in Computer Science or other technical discipline or related practical technical experience
• 1 year(s) of management experience or 1 year(s) of staff level engineering experience with management training
• 5 years of related industry experience in software design development and algorithm related solutions
• 1 years of experience in software engineering/technical engineering management and people management
• 1 year(s) of management experience or 1 year(s) of staff level engineering experience with management training
• Hands on experience in data modeling and machine learning

Preferred Qualifications:

• Masters degree in Computer Science Information Retrieval Machine Learning Natural Language Processing or a related field
• Ph.D. in Computer Science Information Retrieval Machine Learning Natural Language Processing or a related discipline
• Strong technical background and experience leading teams in Machine Learning LLMs Retrieval systems Large-model optimization On-device ML
• Experience designing and deploying large-scale recommender systems
• Published work in academic or industry forums
• 7 years of industry experience

Suggested Skills:

• Large-scale AI problem
• Technical background 
• Strategic thinking
• Machine Learning Big Data and Deep Learning
   

You will Benefit from our Culture:

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

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Compensation:

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $170000 to $277000. Actual compensation packages are based on several factors that are unique to each candidate including but not limited to skill set depth of experience certifications and specific work location. This may be different in other locations due to differences in the cost of labor.    

The total compensation package for this position may also include annual performance bonus stock benefits and/or other applicable incentive compensation plans. For more information visit  Information :

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race color religion creed gender national origin age disability veteran status marital status pregnancy sex gender expression or identity sexual orientation citizenship or any other legally protected class.

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• Documents in alternate formats or read aloud to you
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• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However non-disability related requests such as following up on an application will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by LinkedIn or (c) consistent with LinkedIns legal duty to furnish information.

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Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.

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No

Employment Type :

Full-time