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Hybrid · Mountain View, California, United States$248k–406kFull-timePosted 5 months ago
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.
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.
Technology leaders collaborate, maintain balance, commit and achieve results – all while upholding immense pride in their quality of work. Our leaders value their craft and inspire their team to do the same. They balance product and technology strategy to put members first. They are responsible for attracting, retaining, engaging and developing their teams while also leading and inspiring them to achieve the goals of LinkedIn. Engineering leaders are champions of LinkedIn to their coworkers, their networks and the tech community.
As a Distinguished Engineer at LinkedIn, you will architect and lead the next generation of AI solutions that power LinkedIn’s growth ecosystem – from PYMK to Notifications to Agentic Onboarding – by employing the developing state of the art technologies – from reinforcement learning to generative AI and large models. You will develop strategies to drive user retention throughout the user lifecycle across LinkedIn’s consumer ecosystem, helping accelerate LinkedIn’s vision as a leader within the Growth team.
Responsibilities:
Help define business strategy and technical strategy and drive alignment cross functionally.
Head cross team/cross functional discussions and drive alignment on product/technology strategy.
Help build highly scalable systems and applications to enable the organization to achieve its goals.
Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
Define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices.
Establish a culture that values diverse viewpoints while navigating complex decisions.
Basic Qualifications:
Bachelor's degree in Computer Science or a related field, or equivalent experience
10+ years of relevant work experience
Experience leading technical projects with multiple stakeholders
Preferred Qualifications:
PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience
10+ years experience in building engaging AI-powered consumer products at scale, with at least 5 of those years in a technical leadership position
Experience in designing and optimizing recommender systems that create highly personalized experiences for LinkedIn’s members and scale to solve complex business problems
Experience in leading large scale development projects from concept to multiple releases in production
Experience of technical leadership guiding and mentoring engineering and operations talent
Experience leading high-impact, cross-company initiatives
Dream big. Make big, bold moves to define and build the next generation of products
Suggested Skills:
Mentorship
Technical Leadership
Machine Learning
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.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $248,000 to $406,000. 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 accommodations@linkedin.com 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:
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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