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Director, Software Engineering - AI Infrastructure
- LinkedIn (Mountain View, CA)
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LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.
Join us to transform the way the world works.
This role will be based in Sunnyvale, CA.
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.
AI and search are fundamental to virtually every LinkedIn experience. Our members use AI to view their feed, ads, jobs, notifications with trusted content, and search to find people, jobs, companies, groups, and other professional content. To power these solutions, our AI Infrastructure brings together information retrieval, machine learning, distributed systems, and other fundamental areas of computer science.
The mission of the AI Infrastructure team is to create highly available, reliable, and performant AI and information retrieval systems that are delightful for our ML Engineers to productively use. To do this, our distributed search platform must scale seamlessly across data and traffic, while enabling engineers to rapidly innovate, experiment and improve relevance. Any engineer within LinkedIn can use our platform to quickly build their own solution, searching their specific document corpus. Our platform also ensures it will operate with performance, scalability and stability.
As Engineering Director of the information retrieval control plane (which includes hosted search) you will directly lead a team of 50+ engineers and managers, as well as embedded SREs and TPMs. You will partner with engineering, infrastructure, product, and business leaders across LinkedIn to drive the core technical agenda for this domain.
This individual will be a core member of LinkedIn’s AI Infrastructure engineering leadership team. This leader will be a key contributor to the future success of the business and LinkedIn – as this team creates member and customer value from LinkedIn’s economic graph.
The successful candidate will be a strong thought leader in the technology space, with the ability to build and execute at scale, and an inspirational people leader, overseeing a large team of engineers solving big problems.
Basic Qualifications
+ 5+ years of software engineering management experience
+ 4+ years experience in one of the following areas: data infrastructure, search infrastructure, or ML platforms
+ B.A./B.S. degree or higher, or equivalent experience
Preferred Qualifications
+ Good understanding of the nature of AI models and the complexity of serving them
+ Good understanding of the AI model development and validation processes
+ Hands on experience of developing large scale distributed systems
+ Experience attracting, retaining, and developing top engineering and operations talent throughout the industry.
+ Excellent communication and presentation skills.
Suggested Skills:
Technical Leadership
Data Infrastructure
Search Infrastructure
ML Platforms
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $226,000 to $369,000. 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 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.
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.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation.
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.
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: https://lnkd.in/paytransparency.
Global 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: https://legal.linkedin.com/candidate-portal.
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Director, Software Engineering - AI Infrastructure
- LinkedIn (Mountain View, CA)