Sr. Manager, Machine Learning Engineering - Representation Learning

Pinterest is on a mission to bring everyone the inspiration to create a life they love. The Applied Science team plays a critical role in this mission by developing cutting-edge ML solutions that can be applied across Pinterest engineering teams (see previous publications).  We're looking for a highly technical engineering manager with a deep understanding of representation learning to manage, lead and develop a team of machine learning researchers and engineers that are under the Applied Science team; an individual who can help the team build a portfolio of work which can balance both long term need and short term need of the business; and who can partner with senior leaders to evolve our team’s roadmap and help us fulfill our mission of bringing Pinterest’s mission. 

What you will do:

• 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

What we are looking for:

• 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
• Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

This position is not eligible for relocation assistance.

#LI-HYBRID

#LI-SA1