Sr. Staff Machine Learning Engineer, Homefeed

PinterestSan Francisco, CA
84d$176,924 - $364,254

About The Position

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest helps Pinners discover and do what they love. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics.

Requirements

  • Languages: Python, Java
  • Machine Learning: PyTorch, Tensorflow
  • Big data processing: Spark, Hive, MapReduce
  • 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale
  • 7+ years experience with large scale distributed backend service
  • Experience in working in Deep learning and Generative AI models
  • Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product
  • Bachelors in computer science or equivalent experience

Responsibilities

  • Improve relevance and the user experience on Homefeed
  • Work on state-of-the-art large-scale applied machine learning projects
  • Improve the efficiency and reliability of large-scale data processing and ML inference pipeline
  • Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost

Benefits

  • Equity eligibility
  • Base salary range: $176,924-$364,254 USD

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What This Job Offers

Industry

Publishing Industries

Education Level

Bachelor's degree

Number of Employees

1,001-5,000 employees

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