Distinguished Software Engineer, Machine Learning (Growth)
Job Description
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.
Requirements
Department: Engineering
Experience Level: Director