Engineering Manager, CoreAI (HALO)

Team Overview:

LinkedIn’s Core AI organization is dedicated to  transforming the professional world through innovative solutions, including advanced models, agents, and AI systems.

Our ‘HALO’ Evaluation Engineering team builds core technology that powers LinkedIn’s model and agent evaluation ecosystem. This is a horizontal and deeply cross-functional team empowering product, linguists, and operations partners to evaluate new AI solutions quickly, efficiently, and at scale.

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:

• Provide direct leadership for a team of 5-7 engineers.
• Work closely with various other teams across LinkedIn to align on initiatives, leveraging existing solutions, and ensure optimal collaboration.
• Participate in and facilitate technical and design discussions
• Contribute to the hands-on execution of technical solutions (coding, design, etc.). 
• Leverage best practices & processes to ensure productivity of the team and drive faster iterations
• Attract world class talent and provide technical guidance, career development, and mentoring to team members.

Basic Qualifications:

• 5+ years of related industry experience in software/platform design, development, and related solutions
• 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training
• BA/BS in Computer Science or other technical discipline, or related practical technical experience

Preferred Qualifications: 

• 2+ years of experience as a Technical Lead (Staff or Manager) 
• 7+ years of overall experience including prior work with AI operations or related solutions. 
• Experience building enterprise grade data platforms
• MS or PhD in Computer Science, Machine Learning, Statistics or related fields
   

Suggested Skills:

• Technical Leadership
• AI Infrastructure 
• Platform 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 $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.

 

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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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 LinkedIn's 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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