Distinguished Software Engineer, Machine Learning

Distinguished Software Engineer, Machine Learning (Growth) 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 Linked In 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.

Dream big. Make big, bold moves to define and build the next generation of products.

• 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.

• 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 Linked In’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.

• Technical Leadership

Pay range for this role is $248,000 to $406,000. Compensation packages are based on several factors that are unique to each candidate, including skill set, depth of experience, certifications, and specific work location. The total compensation package may also include annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans. For more information, visit

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. Linked In 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.

Linked In 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  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.

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

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