Distinguished Software Engineer, Machine Learning (Growth)

LinkedIn - Mountain View, CA

Hiring: Distinguished Software Engineer, Machine Learning (Growth) Company: LinkedIn Location: Mountain View, CA Job Posted Time: 2026-09-12 22:39:26 Employment Type: Hybrid Target Skills & Keywords : Machine Learning, Make, Reinforcement Learning About the job Experience: •10+ years of relevant work 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 Required Skills: •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. •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. •Architect and deliver 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. 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 •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 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!