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 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.

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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.

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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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