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[Remote] Sr. Machine Learning Engineer, Applied Research Science
Posted 14 days ago|Apply before June 17, 2026
Note: The job is a remote job and is open to candidates in USA.
Pinterest is a platform where millions find creative ideas and inspiration. They are seeking a Sr. Machine Learning Engineer to build personalized experiences using advanced machine learning techniques and collaborate with various teams to enhance ML models across different product surfaces.
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
- Keeping up with industry trends in recommendation systems
Skills
- 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience
Benefits
- Equity
Company Overview
Pinterest is a visual bookmarking tool for saving and discovering creative ideas. It was founded in 2010, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is