Manager, Hirer AI, Machine Learning

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 LinkedIns #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.

Qualifications :

Basic Qualifications:

• 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

Preferred Qualifications:

• 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

Suggested Skills:

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

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.

Compensation:

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $170000 - $277000. 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: 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.

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.

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Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• 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.

San Francisco Fair Chance Ordinance

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

Pay Transparency Policy Statement

As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates

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: Work :

No

Employment Type :

Full-time