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Pinterest · 1 day ago

Manager II, Machine Learning Engineering, Core Engineering

San Francisco, CA

Full-time

Hybrid

Director/Executive

$189K/yr - $390K/yr

8+ years exp

Pinterest is a platform that inspires creativity and helps users plan memorable experiences. They are seeking a Machine Learning Engineering Manager II to lead a team responsible for enhancing search and recommendation systems for over 500 million monthly users, driving the technical direction and collaborating across teams to improve user experience.

InternetSocial BookmarkingSocial MediaSocial NetworkSoftware

Comp. & Benefits

No H1B

Responsibilities

Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users. Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability

Deeply understand the Pinterest product and drive the vision for the team, ensuring the team’s work directly contributes to the company’s goals

Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers. Identify team needs and hire strong candidates

Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding

Provide visibility to senior leadership regarding the team’s global impact

Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest

Build a culture of excellence and expertise within the team

Qualification

Machine LearningRecommendation SystemsSoftware DevelopmentTeam ManagementNatural Language ProcessingComputer VisionStrategic Roadmap DevelopmentBig Data TechnologyUser Experience FocusMentoring

Required

MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience

Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology

Strong experience in related fields such as recommendation systems and applied machine learning experience is required

Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution

Strong focus on product impact and user experience within a consumer-focused environment

Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members

8+ years of experience in software development, with a proven track record of delivering impactful solutions