Manager II, Machine Learning-Search
Engineering manager leading Pinterest's search backend team, overseeing ML-driven search features like indexing, ranking, personalization, and multimodal search for 450M+ users. Requires 3+ years managing ML teams and deep expertise in large-scale search systems.
What you will do:
- The candidate will be responsible for major areas of the search engine for more than 450 million monthly active Pinterest users, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. In addition, the candidate will work on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search, multimodal query understanding, and query based module generation and ranking.
- Work closely with the other engineering teams in Pinterest to bring superior search experience to our users, such as Search Product, Infrastructure, research and content signals.
- Deeply understand the Pinterest search product, and drive the vision for the team.
- Provide visibility for senior leadership into the team’s global impact.
- Partner with stakeholders to expand impact across the company, including product management, data scientists and design.
- Mentor and grow managers, leaders and engineers on the team.
- Build a culture of excellence and expertise.
What we are looking for:
- Experience leading and working on a large-scale production search, recommendation or ads systems that are based on state-of-the-art machine learning and big data technology.
- Applied machine learning experience is strongly preferred. Experience in related fields such as recommendation systems, natural language processing and computer vision is a bonus.
- Ability to drive the roadmap and directions of scalable production quality systems end-to-end.
- A knack for product and impact on users of a consumer product.
- 3+ years of experience in leading/managing a highly impactful ML-based engineering team of 5+ size; 7+ years of software development experience.
- Bachelors degree in computer science or related technical field, or equivalent experience
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