[Remote] Machine Learning Engineer II
Note: The job is a remote job and is open to candidates in USA. Pinterest is a platform that helps people discover creative ideas and plan for meaningful experiences. The Machine Learning Engineer II will develop deep learning and machine learning technology to personalize Pinterest, improve recommendations and advertising delivery, and enhance content understanding using large language models. The role will collaborate across teams, experiment with models for product surfaces, and support rapid product launches.
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, Related Product, 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 content recommendation and ads delivery
- 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
- Telecommuting and/or remote employment permitted
Skills
- Ph.D. (or foreign equivalent) in Statistics, Mathematics, or a related quantitative discipline such as Biophysics and Quantitative Biology plus two (2) years of experience in the job offered or a related occupation
- (1) Developing and maintaining data pipelines for training datasets utilizing Hadoop and Spark (2 years)
- (2) Machine Learning Methods (user modeling, recommender system (2 years)
- (3) Analyzing user behavior signals and enforcement actions by applying natural language processing (NLP) and computer vision-based recommendation algorithms (1 year)
- (4) Leveraging LLM and CLIP models implemented with TensorFlow and PyTorch (1 year)
- (5) Designing and improving advertising algorithms using Python, Java and Go (2 years)
- (6) Developing multi-module market applications of large language models (LLMs) to align visual and language information (1 year)
Benefits
- Telecommuting and/or remote employment permitted.
- Full-time telecommuting is an option.
Company Overview
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