Machine Learning Engineer Monetization Engineering
Machine Learning Engineer Monetization Engineering
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1 Vacancy
Job Description
With more than 500 million users around the world and 300 billion ideas saved Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4000 global employees our teams are small mighty and still growing. At Pinterest youll experience handson access to an incredible vault of data and contribute largescale recommendation systems in ways you wont find anywhere else.
Within the Monetization ML Engineering team we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
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 highimpact environment with quick experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What were looking for:
- 2 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)
- Degree in computer science statistics or related field
- Endtoend handson experience with building data processing pipelines large scale machine learning systems and big data technologies (e.g. Hadoop/Spark)
- Practical knowledge of large scale recommender systems or modern ads ranking retrieval targeting marketplace systems
- 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
- Background in computational advertising
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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Employment Type
Full Time
