Staff Machine Learning Engineer, Notifications Content Science
Description For Staff Machine Learning Engineer, Notifications Content Science
Pinterest is seeking a Staff Machine Learning Engineer to join their Notifications Content Science team. This role is crucial for driving user engagement and growth through personalized content delivery via Email, Push, and In-app Notifications. The position offers a unique opportunity to work on sophisticated ML systems that directly impact Pinterest's MAU growth and user retention.
The ideal candidate will be responsible for designing and implementing ML components for content Retrieval, Ranking, and Blending, ensuring that notifications are personalized and inspiring. This role combines technical expertise with leadership, requiring both hands-on development skills and the ability to guide technical strategy.
Working at Pinterest means joining a platform that helps millions find inspiration daily. The company offers a progressive work model called PinFlex, providing flexibility in work arrangements. The compensation is competitive, ranging from $176,924 to $364,254 USD, plus equity opportunities.
The role requires deep expertise in machine learning, particularly in recommendation systems, with at least 5 years of hands-on experience. You'll be working with technologies like Python, PyTorch, and TensorFlow, while collaborating with cross-functional teams to drive Pinterest's notification strategy forward.
Pinterest values diversity and inclusion, offering an equitable workplace where merit drives decisions. The position offers the opportunity to work either remotely or from their San Francisco office, contributing to a platform that positively impacts users' lives through inspiration and creativity.
Responsibilities For Staff Machine Learning Engineer, Notifications Content Science
- Tackle challenging problems including Candidate Retrieval, Ranking, Utility and Blending
- Productionize new ML components end-to-end
- Break down large, ambiguous projects into well-defined tasks and mentor ICs
- Work with Engineering and Product leads to craft AI/ML-powered technical strategy
- Translate technical strategy into concrete engineering roadmap and lead technical execution
Requirements For Staff Machine Learning Engineer, Notifications Content Science
- 5+ years of hands-on professional experience in designing and building end-to-end large scale candidate retrieval and ranking ML models
- 1+ years of experience with developing technical strategy for AI/ML-powered core product teams
- Bachelor's/Master's degree in computer science or equivalent experience
- Deep systems level understanding of industry scale recommendation systems
- Proficient in Python and building ML models using PyTorch or Tensorflow
- Excellent track record of collaborating with Engineering and Cross-functional Stakeholders
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