Manager, Hirer AI, Machine Learning

LinkedIn•Sunnyvale, CA

9d•$170,000 - $277,000•Hybrid

About The Position

Team Overview: The Enterprise AI team is responsible for 7B$+ LOBs at LinkedIn across Hirer, Learning and Enterprise Jobs verticals. The Hirer AI team is responsible for connecting individuals to opportunities and is building the next generation recruiter platform consisting of GenAI powered tools such as AI assisted search and automated inMails. The exciting new charter of Hiring Assistant which will revolutionize recruiting workflows, is also LinkedIn’s #1 priority. The work in the team includes building, tuning and applying generative AI models where relevant, working with Open AI to power GAI applications where relevant and innovating on cutting edge search and recommendation models to retrieve the best candidates for a given role. The LinkedIn Learning AI team is responsible for revolutionizing the online learning space and career development for employees by transforming the way users acquire new skills, improve existing ones, and prepare for the next challenges in their careers. By leveraging Generative AI, and Search & Recommendation technologies we power Learning recommendation, Learning search, and LLM-powered copilot systems specifically designed to empower our users to achieve their learning goals. The Enterprise Jobs AI team is responsible for connecting millions of job opportunities to our members and creating the best talent matching experience for our clients. There are opportunities to also work on cross-functional technologies that power job creation and promotion systems. 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 role will be based in Sunnyvale, CA. Responsibilities: As the manager in the Enterprise AI team, you will work with highly experienced and passionate AI Engineers and a very brilliant cross functional team, all laser-focused on creating platforms to connect all individuals in the global workplace to all the global opportunities and to create an impact on the learning, career development and job finding journeys of millions of LinkedIn users! With Enterprise being the largest LOB for LinkedIn, and an opportunity to scale them significantly makes this role a hyper growth role for a manager. Directly responsible for a team of 6-10 engineers. Work closely with various other teams (Product, Applications, Infrastructure, Vertical AI teams, etc.) to align on initiatives, leveraging existing solutions, and ensure optimal collaboration. Participate in key technical and design discussions with technical leads in the team. Define and leverage best practices for engineering and research to ensure optimal productivity and drive faster iterations. Attract world class talent and provide technical guidance, career development, and mentoring to team members. Operate best engineering and scientific practices & processes to ensure productivity of the team and drive faster iterations via A/B experiments.

Requirements

BA/BS in Computer Science or other technical discipline, or related practical technical experience
5+ years of related industry experience in Machine Learning, development, and algorithm related solutions
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
Hands on experience in data modeling and machine learning

Nice To Haves

MS or PhD in Computer Science, Machine Learning, Statistics or related fields
2+ years of experience in Machine Learning Engineering management and people management
Experience driving impact with Generative AI products and Search and Recommendation systems
7+ years of hands on experience in data modeling and machine learning

Responsibilities

Directly responsible for a team of 6-10 engineers.
Work closely with various other teams (Product, Applications, Infrastructure, Vertical AI teams, etc.) to align on initiatives, leveraging existing solutions, and ensure optimal collaboration.
Participate in key technical and design discussions with technical leads in the team.
Define and leverage best practices for engineering and research to ensure optimal productivity and drive faster iterations.
Attract world class talent and provide technical guidance, career development, and mentoring to team members.
Operate best engineering and scientific practices & processes to ensure productivity of the team and drive faster iterations via A/B experiments.

Benefits

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.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $170,000 - $277,000.
Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location.
This may differ in other locations due to cost of labor considerations.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.
For additional information, visit: https://careers.linkedin.com/benefits.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities.
Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
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.
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.