Sr. Staff Machine Learning Engineer, Ads Quality

Key Skills

Apache Hadoop, Apache Hive, C++, Deep Learning, Java Programming, Large Language Models - LLMs, Large scale data processing, Machine learning techniques, Mathematics, Mentoring, Python Programming, PyTorch, Spark Core, Statistics, TensorFlow, Transformer

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. 

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 Ranking. You will work on tackling new challenges in machine learning and deep learning to advance the statistical models that power the ads engagement and delivery that bring together Pinners and partners in this unique marketplace.

What you’ll do:

• Lead projects that involve developing and deploying state of the art (and beyond) ML models in production ads delivery systems
• Help to define and drive forward looking ML strategy for the team and across the company. Participate in strategic discussions, be a thought partner to cross functional teams, crystalize visions to tactical roadmaps and advise management
• Be hands-on and develop models and systems that lead to step-function improvements of topline metrics
• Collaborate and partner with cross functional teams within ads product, ads infra, signals, core, research, etc on all aspects related to relevance
• 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:

• Deep practical knowledge of large scale recommender systems, or modern ads ranking/retrieval/targeting/marketplace systems

• 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 working on backend and ML systems for large-scale user-facing products, and a good understanding of how they all work is all a plus

• Experience with privacy preserved ML, large language models or generative AI is a plus, but not required

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.