Sr. Staff Machine Learning Engineer, Monetization, Privacy ML
$212964/y-$438454/y
17 hours ago
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OnsiteFull-timeSenior
Summary
Pinterest is seeking a Sr. Staff Machine Learning Engineer, Monetization, Privacy ML to join their team in San Francisco, CA. The role involves guiding technical directions and leading the development of privacy-preserved ML solutions for ads engagement and delivery.
About the Role
As a Sr. Staff Machine Learning Engineer, you will lead projects that develop and deploy advanced privacy-preserved ML models in production ad delivery systems. You will collaborate with cross-functional teams to define and drive the privacy-preserved ML strategy, develop models that improve topline metrics, and mentor junior ML engineers.
About You
Required:
- Experience in privacy preserving machine learning techniques.
- Deep practical knowledge of large scale recommender systems or ads delivery funnels.
- Experience in deep learning, transformers, and deep cross networks.
- 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 of working experience in engineering teams that build large-scale ML-driven user-facing products.
- 3+ years of experience leading cross-team engineering efforts.
- Understanding of an object-oriented programming language (Java, C++, Python, etc.).
- Bachelor's/Master's degree in a relevant field such as Computer Science or equivalent experience.
Preferred:
- Experience in working on backend and ML systems for large-scale user-facing products.
Benefits
- Base salary range of $212k–$438k USD.
- Eligible for equity.
Pinterest
Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where 482 million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments.
San Francisco, CA