Pinterest's search system needs to deeply understand user intent for broad, exploratory queries and help users explore content, personalize results, harness visual signals effectively, and show engaging content upfront. The Closeup Relevance team needs to improve Closeup recommendations (related pins) to help pinners explore topics and get continuous inspiration, serving billions of daily impressions and being critical for company business.
Requirements
- 7+ years of professional experience in Machine Learning
- 5+ years of proposing and delivering innovations from original research or adopting cutting edge ML research
- 3+ years of experience in leading large-scale and mature ML recommendation systems teams, in an end-to-end fashion.
- Expertise in machine learning modeling and infrastructure
- Adept in statistics, backend, batch and realtime processing systems
- Ability to drive the team roadmap end to end
Responsibilities
- You will be working in a cross-team environment, with a lot of talented ML engineers. You will work with state-of-the-art recommendation tech stack and have the opportunity to lead innovation and/or redesign of the full recommendation funnel.
- You will be a leader in ML innovations whose impact is felt across the organization
- Work closely with other engineering teams in Pinterest to bring superior Closeup experience to our users, such as ATG, ML Platform, Closeup Product, Content Quality and Core Infrastructure
- Develop an inspiring technical vision, and ambitious but grounded strategy for the team. Deliver outstanding results
- Provide visibility for senior leadership into the team’s global impact.
- Partner with stakeholders to expand impact across the company, including product management and data scientists.
- Mentor and grow senior engineers on the team
Other
- Thrives in ambiguity, skilled in defining and exploring open ended problems
- Experience in setting and delivering technical directions at both team and organizational level
- A knack for product and impact on users of a consumer product.
- This position is not eligible for relocation assistance.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
