Sr. Staff Machine Learning Engineer, Monetization – PPML

Key Skills

Apache Hadoop, Apache Hive, C++, Deep Learning, Java Programming, Large scale data processing, Machine learning techniques, Mathematics, Online Advertising technologies, Python Programming, PyTorch, Spark Core, Statistics, TensorFlow

Job Description

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit ourPinFlex landing page to learn more. 

At Pinterest, we treat user privacy as our first priority in our product design and ads businesses. Within the monetization ML team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners, while respecting users’ privacy choices.

In this role, you will be guiding the technical directions, leading the development, and advancing the state of the art privacy-preserved ML solutions that power the ads engagement and delivery which bring together Pinners and partners in this unique marketplace. You will influence and collaborate with cross functional teams to drive privacy initiatives, ensure compliance with relevant regulations and enable effective advertising strategies.

What you’ll do:

• Lead projects that involve developing and deploying state of the art (and beyond) privacy-preserved ML models in production ads delivery systems
• Collaborate and partner with cross functional teams across the company, to help define and drive forward-looking privacy-preserved ML strategy for the team and across the company
• Be hands-on and develop models and systems that lead to step-function improvements to our topline metrics
• Mentor and grow junior ML engineers in ads quality and partner teams and help to uplevel ML talent across the company

What we’re looking for:

• Experience in privacy preserving machine learning techniques

• Deep practical knowledge of large scale recommender systems, or ads deliver funnels

• Experience in deep learning, transformers, deep cross network, etc. 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)
• 8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 3+ years experience leading cross-team engineering efforts
• Understanding of an object-oriented programming language (Java, C++, Python, etc)
• Experience in working on backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work is a plus

This position is not eligible for relocation assistance.

US based applicants only

$222,000—$327,000 USD

Our Commitment to Diversity:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support.