AI/ML Engineering Manager - Feed AI

LinkedIn helps professionals achieve more in their careers through innovative products and technology, connecting millions of people to opportunities worldwide.

San Francisco, CA, USA

$200,000 - $268,000

Machine Learning

Staff Software Engineer

Hybrid

1,000 - 5,000 Employees

5+ years of experience

AI · Enterprise SaaS

Description For AI/ML Engineering Manager - Feed AI

LinkedIn is seeking an AI/ML Engineering Manager to lead their Feed AI team, focusing on advancing career development for 1B+ members through intelligent content delivery and community engagement. This role combines technical leadership with people management, requiring expertise in machine learning and team leadership.

The Feed AI team leverages cutting-edge ML techniques including Learning to Rank, Explore/Exploit, Deep Learning, and Reinforcement Learning to optimize content delivery and knowledge flow between creators and seekers. As the Engineering Manager, you'll work from the Sunnyvale office in a hybrid setting, leading a team of approximately 10 ML engineers.

Key responsibilities include defining and executing data-driven strategic roadmaps, collaborating with product and data science teams, and driving AI innovation through partnership with foundation and infrastructure teams. You'll be responsible for building and scaling a world-class engineering team while ensuring technical excellence in ML systems.

The ideal candidate brings 5+ years of industry experience with significant ML work, advanced technical education, and demonstrated leadership ability. Previous management experience or staff-level ML engineering experience is required. Additional valued qualifications include expertise in recommendation systems, deep learning, and natural language processing, plus a track record of research publications or patents.

LinkedIn offers a competitive compensation package including base salary ($200,000-$268,000), annual performance bonus, and RSUs. The company provides comprehensive benefits including health and wellness programs, generous time-off policies, and a collaborative work environment focused on innovation and career growth.

This role presents an exceptional opportunity to impact millions of professionals' careers while working with cutting-edge AI technology at scale. You'll join a company committed to transforming professional networking and career development through innovative technology solutions.

Last updated 3 months ago

Responsibilities For AI/ML Engineering Manager - Feed AI

Lead a team of ~10 machine learning engineers to deliver ecosystem-wide impact through LinkedIn newsfeed
Define data-driven product/technology strategic roadmap with product and data science partners
Build scalable AI innovations with foundation and infra partners
Hire and develop top talent, building and scaling a world-class team of passionate engineers

Requirements For AI/ML Engineering Manager - Feed AI

Python

5+ years of industry experience including significant work in machine learning
Masters in Computer Science or related technical field or equivalent technical experience
1+ year(s) of management experience leading a AI/ML engineering team, or 1+ year(s) of Staff level AI/ML engineering experience with management training

Benefits For AI/ML Engineering Manager - Feed AI

Medical Insurance

Dental Insurance

Vision Insurance

401k

Parental Leave

Health and wellness programs
Generous time away policies
Annual performance bonus
RSUs (Restricted Stock Units)
Comprehensive benefits package

LinkedIn helps professionals achieve more in their careers through innovative products and technology, connecting millions of people to opportunities worldwide.

San Francisco, CA, USA

$200,000 - $268,000

Machine Learning

Staff Software Engineer

Hybrid

1,000 - 5,000 Employees

5+ years of experience

AI · Enterprise SaaS

Find the length of the longest substring without repeating characters in a given string s. Provide examples and edge cases to consider, such as empty strings or strings with only one character. Optimize for performance and time/space complexity, especially for large inputs.

Data Structures & AlgorithmsMedium

Given a string s, find the length of the longest substring without repeating characters. For example: Input: s = abcabcbb Output: 3 Explanation: The answer is abc, with the length of 3. Input: s = bbbbb Output: 1 Explanation: The answer is b, with the length of 1. Input: s = pwwkew Output: 3 Explanation: The answer is wke, with the length of 3. Notice that the answer must be a substring; pwke is a subsequence and not a substring. Input: s = Output: 0 Implement an algorithm in your chosen language to efficiently determine the length of the longest substring without repeating characters in the given input string. Consider the time and space complexity of your solution. Can you optimize your approach to achieve the best possible performance, especially for very large input strings? What are the edge cases to consider, such as empty strings or strings with only one character?

Strings

Sliding Windows

Walk me through a past project.

Behavioral

Let's walk through a past project you've worked on. I'm interested in understanding your approach, the challenges you faced, and how you overcame them. To start, please describe a project where you had significant ownership and responsibility. Elaborate on the project's goals, your specific role, and the technologies you utilized. For example, perhaps you led the development of a new feature for a mobile application using React Native, or you were responsible for optimizing a database query that was causing performance bottlenecks. As you describe the project, please highlight the key decisions you made and the rationale behind them. I'd also like to hear about any unexpected obstacles you encountered and the steps you took to address them. This could include technical challenges, team coordination issues, or changes in project requirements. For instance, how did you handle a situation where a critical dependency was deprecated, or when a team member was unable to complete their assigned tasks? Finally, I'm keen to learn about the outcomes of the project and how you measured its success. What were the key performance indicators (KPIs) that you tracked, and what were the results? Did you achieve the project's goals, and what lessons did you learn from the experience? Please provide specific examples and quantify the impact of your contributions whenever possible. This walkthrough will help me understand your problem-solving skills, technical expertise, and ability to work effectively in a team environment.

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