About Pinterest:
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.
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 that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
Staff Software Engineer, Ads ML Training Infrastructure
Ads ML Training Infra team owns the model training frameworks and infra that power model development and training across for all Ads models at Pinterest. The team is looking for a staff engineer with strong hands-on experience in large scale ML model training systems as well as capabilities in solving ambiguous technical problems and driving strategic efforts.
What you’ll do:
- Lead and drive efforts of building next-gen ML data and training systems that directly powers up to 100 production models to uplevel Pinterest monetization business.
- Optimize the ads ML training performance, efficiency and scalability by 10x from infra and model perspectives.
- Work with ML communities inside and outside the company to bring in new technologies to Pinterest to power new ML paradigms including generative AI and LLM.
- Build strong partnership with other ML teams to accelerate ML development and training velocity and level up MLOps excellence.
- Mentor and coach other engineers, guiding them through technical decisions and career development.
What we’re looking for:
- BS (or higher) degree in Computer Science, or a related field.
- ~8+ years of relevant industry experience in leading the design of large scale & production ML infra systems.
- Deep knowledge with at least one programming language (Java, C++, Python) and at least one big data framework (Spark, Ray).
- Good knowledge and experience in building deep learning models and familiarity with Pytorch or Tensorflow.
- Track of records in leading group projects, coaching peers and collaborating across functions and orgs.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times per week and therefore needs to be in a commutable distance from one of the following offices Palo Alto, CA; San Francisco, CA; Seattle, WA; New York City, NY.
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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
$200,436—$350,763 USD
Our Commitment to Diversity:
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What We Do
Pinterest is the visual inspiration platform people around the world use to shop products personalized to their taste, find ideas to do offline and discover the most inspiring creators. Today, more than 460 million people come to the platform every month to explore and experience billions of ideas that have been saved. We’re proud to help people to discover and do what they love.
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