Summary
Join Pinterest and build cutting-edge technology using deep learning and machine learning to personalize the platform. You will partner with various teams to experiment with and improve machine learning models across different product surfaces. Leverage data-driven methods and the unique properties of Pinterest's data to enhance candidate retrieval. Work in a fast-paced environment with frequent experimentation and product launches, keeping up with industry trends in recommendation systems and utilizing LLMs to improve content understanding. This role offers telecommuting flexibility. The position requires a PhD or Master's degree in a related field with relevant experience and specific technical skills.
Requirements
- PhD, or foreign equivalent, in Computer Science, Mathematics, or closely related quantitative discipline, OR Masterβs degree, or foreign equivalent, in Computer Science, Mathematics or closely related quantitative discipline, and three (3) years of experience in job offered or related field
- TensorFLow
- PyTorch
- Python
- Kubernetes
- Spark
- Docker
- Information Retrieval
- Recommendation Systems
- Natural Language Processing
- BigQuery & SQL
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 machine learning models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how machine learning 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
- Equity
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