Machine Learning Engineer II

Summary

Join Pinterest and build cutting-edge technology using deep learning and machine learning to personalize the platform. Partner with cross-functional teams to experiment with and improve ML models for various products. Utilize data-driven methods to enhance candidate retrieval and work in a fast-paced environment with frequent experimentation and product launches. Stay current on industry trends in recommendation systems and leverage LLMs to improve content understanding. This role offers telecommuting flexibility. The position requires a Master's degree in a related field and two years of relevant experience.

Requirements

• Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or closely related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field
• Natural language processing
• Large scale recommender systems
• Python
• TensorFlow
• Deep learning
• Angular
• PySpark
• Big Data
• Data processing pipelines
• Git

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 systems
• Leverage LLMs to enhance content understanding

Benefits

Telecommuting is permitted