Staff Machine Learning Engineer - Curation ML
Staff Machine Learning Engineer - Curation ML
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Salary Not Disclosed
1 Vacancy
Job Description
The Curation teams mission is to give Pinners the tools they need to envision & create a life they love by making Pinterest the easiest place to access your favorite ideas collaborate with others and make your dreams a reality. Our team builds product features that are deeply engaging and uniquely Pinterest including saving and creating Pins Boards and Collages and inspiring Pinners to create a life they love. We apply cuttingedge machine learning algorithms to facilitate saving help Pinners discover boards and bring actionability to boards.
What youll do:
- Apply cuttingedge deep learning and generative AI technologies to solve modeling and ranking problems across different product surfaces.
- Build endtoend machine learning solutions including data pipelines feature engineering model optimization and innovation. Research latest industry and academia advancement to improve existing algorithms.
- Work in a highimpact environment and partner closely with cross functional teams to launch innovative product features and to deliver more personalized product experiences
What were looking for:
- MS/PhD in Computer Science ML NLP Statistics Information Sciences related field or equivalent experience.
- 6 years of industry experience.
- Experience in machine learning/information retrieval.
- Fluent in at least one of the programming languages such as Python Java or C.
- Fluent in at least one of the deep learning frameworks such as Tensorflow PyTorch.
- Strong domain knowledge leadership experience and demonstrated success at scale in at least one of the following areas: recommender systems information retrieval reinforcement learning representation learning.
- Experience working on large scale consumer products and production deliverables optimized for cost and operability.
- Collaborative leadership with crossorg ML and crossfunctional teams.
- Passionate about solving complex challenging and ambiguous problems.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
InOffice Requirement Statement:
- We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.
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Required Experience:
Staff IC
Employment Type
Full-Time
