Machine Learning Engineer II
Pinterest Job Advertisements•San Francisco, CA
•$215,250 - $285,982•Remote
About The Position
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
Requirements
- Master’s degree (or its foreign degree equivalent) in Computer Science, Data Science, Business Analytics, Engineering (any field), or closely related quantitative discipline and three (3) years of experience in the job offered or in any occupation in related field.
- Two years of experience in User Modeling
- Two years of experience in Personalization
- Two years of experience in Recommender Systems
- Two years of experience in Search and Ranking
- Two years of experience in Natural language processing
- Two years of experience in Reinforcement Learning
- Two years of experience in Graph Representation Learning
- Two years of experience in Hands-on experience with building data processing pipelines
- Two years of experience in Hadoop and Spark
- Two years of experience in Retrieval Targeting
- Two years of experience working using latest advances in with deep learning and machine learning
- Two years of experience in improving ML models for various product surfaces.
- Any suitable combination of education, training and experience is acceptable.
Responsibilities
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest.
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas.
- Use data driven methods and leverage the unique properties of our data to improve candidates’ retrieval.
- Work in a high-impact environment with quick experimentation and product launches.
- Keep up with industry trends in recommendation system.
- Leverage LLMs to enhance content understanding.
Benefits
- The position is also eligible for equity.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
