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 cuttingedge ML solutions that can be applied across Pinterest engineering teams (see previous publications. Were 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 teams roadmap and help us fulfill our mission of bringing Pinterests mission.
What you will do:
- Manage lead and develop a talented subteam of machine learning researchers and engineers specializing in representation learning.
- Partner with your team to define the subteams charter ensuring it prioritizes both cuttingedge research and building foundational embeddings that benefit various products across Pinterest.
- Champion the use of stateoftheart representation learning techniques to create efficient and effective embeddings.
- Advocate for high quality decisionmaking and challenge decisions with highly biased data; bring a justified view of the tradeoff 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 postgraduate academic and industry experience applying stateoftheart ML technologies to solve realworld problems on webscale data; 2 years of management experience
- Demonstrated 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 upleveling other software engineers and machine learning engineers
- Selfpropelled 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 welldefined 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
- Bachelors/Masters degree in a relevant field such as Computer Science or equivalent experience.
InOffice Requirement Statement:
- We let the type of work you do guide the collaboration style. That means were 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.
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Required Experience:
Manager