Sr. Machine Learning Engineer, Core Engineering

PinterestUSA2w ago

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Job description

About the role

<div class="content-intro">About Pinterest: 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&nbsp;<a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. The listing location is San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US.

Key facts

Location: USA

What you'll do

<div class="content-intro">About Pinterest: 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&nbsp;<a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work.
It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that.
To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.
You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/">here</a>.</div>With more than 500 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, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. &nbsp; What you'll do: <ul> <li style="font-weight: 400;">Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest</li> <li style="font-weight: 400;">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</li> <li style="font-weight: 400;">Use data driven methods and leverage the unique properties of our data to improve candidates retrieval</li> <li style="font-weight: 400;">Work in a high-impact environment with quick experimentation and product launches</li> <li style="font-weight: 400;">Keeping up with industry trends in recommendation systems&nbsp;</li> </ul> &nbsp; What we're looking for: <ul> <li style="font-weight: 400;">4+ 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)</li> <li style="font-weight: 400;">End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)</li> <li>Degree in computer science, machine learning, statistics, or related field</li> <li>Nice to have: <ul> <li style="font-weight: 400;">Publications at top ML conferences</li> <li>Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring</li> <li>Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration</li> <li style="font-weight: 400;">Expertise in scalable realtime systems that process stream data</li> <li style="font-weight: 400;">&lt

Requirements

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&nbsp;<a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work.
To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.
You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/">here</a>.</div>With more than 500 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.
At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. &nbsp; What you'll do: <ul> <li style="font-weight: 400;">Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest</li> <li style="font-weight: 400;">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</li> <li style="font-weight: 400;">Use data driven methods and leverage the unique properties of our data to improve candidates retrieval</li> <li style="font-weight: 400;">Work in a high-impact environment with quick experimentation and product launches</li> <li style="font-weight: 400;">Keeping up with industry trends in recommendation systems&nbsp;</li> </ul> &nbsp; What we're looking for: <ul> <li style="font-weight: 400;">4+ 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)</li> <li style="font-weight: 400;">End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)</li> <li>Degree in computer science, machine learning, statistics, or related field</li> <li>Nice to have: <ul> <li style="font-weight: 400;">Publications at top ML conferences</li> <li>Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring</li> <li>Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration</li> <li style="font-weight: 400;">Expertise in scalable realtime systems that process stream data</li> <li style="font-weight: 400;">&lt

About Pinterest

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.