**Who this is for** This position is for an experienced Machine Learning engineer interested in applying deep learning techniques to large-scale monetization an
Work type: hybrid
Location: San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
Salary: $189,721 – $332,012/yr
Type: Full-time
**Who this is for** This position is for an experienced Machine Learning engineer interested in applying deep learning techniques to large-scale monetization and advertising systems for a major consumer platform. **Key highlights** You will drive the evolution of ad-related machine learning technology, working on high-impact surfaces like Homefeed and Search while leveraging massive data sets to improve personalization and candidate retrieval. **You might be a good fit if you...** - Have 2+ years of industry experience in ML, particularly in ranking, user modeling, or computational advertising. - Are proficient in building production-grade data pipelines and working with big data technologies like Spark or Hadoop. - Have experience with or an interest in utilizing LLMs to enhance content understanding and engineering productivity.
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 [flexibility](https://www.pinterestcareers.com/our-life/pinflex/) to do your best work. Creating a career you love? 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 [here](https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/).
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 4,000 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.
Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
What you’ll do:
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$189,721—$332,012 USD