Hiring Now: Pinterest careers remote

We're looking for a reliable person to join us as a Pinterest Careers Remote! This is a fully Remote role, offering you the flexibility to work from anywhere. This position requires a strong and diverse skillset in relevant areas to drive success. In recognition of your expertise, this position offers a salary of a competitive salary.   Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our ;a class= addTooltip title= href= https://www.pinterestcareers.com/pinflex/ target= _blank rel= noopener data-original-title= Opens in a new window ;u PinFlex ;/u ;/a  landing page to learn more.Â

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.
What you’ll do:

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

What we’re looking for:

5+ years experience with Recommender system or User modeling, implementing production ML systems at scale
Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow
Experience with large scale data processing (e.g. Hive, Scalding, Spark, Hadoop, Map-reduce)
Understanding of an object-oriented programming language (Java, C++, Python)
5+ years experience with large scale distributed backend systems Apply Job! Your Future Starts HereDon't miss out on this exciting role. We are looking forward to hearing from you. Apply now!
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