Machine Learning Engineering Manager, Pinterest
Homefeed Retrieval Modeling
$176.9-364.3k
The position is also eligible for equity
Visual bookmarking tool for saving & discovering creative ideas
Open for applications
Visual bookmarking tool for saving & discovering creative ideas
1001+ employees
Open for applications
$176.9-364.3k
The position is also eligible for equity
1001+ employees
Company mission
To bring everyone the inspiration to create a life they love.
Role
Who you are
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience
- Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology
- Strong experience in related fields such as recommendation systems and applied machine learning experience is required. Natural language processing and computer vision is a bonus
- Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution
- Strong focus on product impact and user experience within a consumer-focused environment
- Minimum of 1 year of experience as an engineering manager / team technical lead in a high-performing machine learning engineering team of 10+ members
- 8+ years of experience in software development, with a proven track record of delivering impactful solutions
What the job involves
- We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team’s technical direction, strategic planning and execution
- You'll have the opportunity to lead a team that works cross-team on various innovative projects of new product experiences, builds large-scale low-latency systems and state-of-the-art machine learning models, and delivers great impact to our pinners and business metrics
- Be responsible for major areas of Homefeed Recommendations for more than 500 million monthly active Pinterest users. Potential areas of impact include retrieval (ML based retrieval, L1 modeling, candidate generators, sequence modeling), or ranking (multi domain ranking, feature crossing interactions, pretrain and finetune methodologies, sequence modeling , relevance modeling, model training efficiency and model serving efficiency)
- Deeply understand the Pinterest Home product and drive the vision for the Homefeed team, ensuring the team’s work directly contributes to the company’s goals
- Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers. Identify team needs and hire strong candidates
- Collaborate closely with other engineering teams at Pinterest to enhance the Homefeed experience for users, including Advanced Technology Group, ML Infrastructure, Serving Infrastructure, Content Understanding and User Understanding
- Provide visibility to senior leadership regarding the team’s global impact
- Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest
- Build a culture of excellence and expertise within the team
Our take
Inspiration and ideas can pop into your head at any time, and with the growth of social media and networking, sharing these interests and gaining exposure has never been easier. Pinterest exists to display these moments visually, as a kind of digital pinboard allowing users to save and share digital images which have inspired them.
Pinterest's emphasis on visual discovery has differentiated it from competitors and created a more positive and fulfilling experience for its users. Pinterest in many ways provides a respite from the ceaseless negativity that plagues social media such as Facebook and Twitter, and this is perhaps responsible for its userbase expanding to 450 million users in 2022, driven by uptake mostly outside of North America.
Pinterest has not been immune to woes affecting the global tech sector and made about 5% of its workforce redundant at the end of 2022 and the start of 2023. Having restructured to face a challenging climate, it is well-positioned to resume its growth, which has increased consistently year on year. Its immediate goals are to continue to grow its user base and expand the uptake of its short video product, which it aims to monetize.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
9% employee growth in 12 months
Company
Company HQ
SoMa, San Francisco, CA
Leadership
Ben Silbermann
(CEO)Worked as a Product Specialist at Google for 2 years before leaving to work on his own apps, which led to founding Pinterest
Salary benchmarks
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