With more than 500 million users around the world and 400 billion ideas saved Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3000 global employees our teams are small mighty and still growing. At Pinterest youll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you wont find anywhere else.
What youll do:
- 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
What were looking for:
- 5 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)
Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-REMOTE
#LI-DG2
Required Experience:
Senior IC
With more than 500 million users around the world and 400 billion ideas saved Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3000 global employees our teams are small mighty and still growing. At Pinterest youll experience ...
With more than 500 million users around the world and 400 billion ideas saved Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3000 global employees our teams are small mighty and still growing. At Pinterest youll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you wont find anywhere else.
What youll do:
- 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
What were looking for:
- 5 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)
Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-REMOTE
#LI-DG2
Required Experience:
Senior IC
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