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.

Requirements

• 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 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 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
• 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

Benefits

Additional Information

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.

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