Pinterest · 2 days ago

Sr. Manager, Machine Learning Engineering - Representation Learning

United States

Full-time

Remote

Senior Level, Lead/Staff

$200K/yr - $412K/yr

6+ years exp

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Comp. & Benefits

No H1B

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Responsibilities

Manage, lead, and develop a talented sub-team of machine learning researchers and engineers specializing in representation learning.

Partner with your team to define the sub-team's charter, ensuring it prioritizes both cutting-edge research and building foundational embeddings that benefit various products across Pinterest.

Champion the use of state-of-the-art representation learning techniques to create efficient and effective embeddings.

Advocate for high quality decision-making and challenge decisions with highly biased data; bring a justified view of the trade-off between rigor and velocity.

Collaborate with data scientists and product partners to prototype, build and scale solutions to key challenges across Pinterest engineering teams.

Partner with leaders in the company to deepen user understanding and help set the strategic direction of our representation learning roadmap.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningRepresentation LearningTeam ManagementData AnalysisPrototypingMentoringBusiness AcumenPublications in ML

Required

6+ years of combined post-graduate academic and industry experience applying state-of-the-art ML technologies to solve real-world problems on web-scale data; 2+ years of management experience

Demonstrated execution and impact on initiatives that cross multiple product areas and interface with leadership and product teams with a track record of influencing leaders and peers using data

Experience mentoring and up-leveling other software engineers and machine learning engineers

Self-propelled continuous learner who keeps up with new tools and methodologies and builds prototypes with concepts learned

Strong business and product sense: delight in shaping vague questions into well-defined projects and success metrics that drive business decisions

Excellent communication skills: able to communicate findings with leadership and product teams, and track record of publications in machine learning, AI, data science, data analytics, statistics, or related technical fields