Machine Learning Engineer, Core Engineering
San Francisco, CA, US; Remote, US
About Pinterest:Â Â
Millions of people across the world come to Pinterest to find new ideas every day. Itâs 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, youâll be challenged to take on work that upholds this mission and pushes Pinterest forward. Youâll 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.
Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.
Our new progressive work model is called PinFlex, a term thatâs uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.Â
With more than 450 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, youâll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you wonât find anywhere else.
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What youâll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systemsÂ
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What weâre looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., âŚ
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Not eligible for relocation Not eligible for relocation assistance
Benefits/PerksEquity Equity options Flexible work model Inclusive workplace
SkillsAccessibility Ads Big Data Big Data Technologies Data processing Deep Learning Engineering Experimentation Hadoop Machine Learning Natural Language Processing Personalization Ranking Recommender Systems Reinforcement Learning Search Spark Technology
Experience2 years
Education TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9