[Hiring] Machine Learning Engineer II @Pinterest Job Advertisements

Role Description

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.
• Full-time telecommuting is an option.

Qualifications

• Master’s degree (or its foreign degree equivalent) in Computer Science, Data Science, Business Analytics, Engineering (any field), or closely related quantitative discipline.
• Three (3) years of experience in the job offered or in any occupation in a related field.

Requirements

• Two years of experience in the following:
• User Modeling
• Personalization
• Recommender Systems
• Search and Ranking
• Natural language processing
• Reinforcement Learning
• Graph Representation Learning
• Hands-on experience with building data processing pipelines
• Hadoop and Spark
• Retrieval Targeting
• Experience working using latest advances in deep learning and machine learning
• Experience in improving ML models for various product surfaces
• Any suitable combination of education, training, and experience is acceptable.
• Full-time telecommuting is an option.

Benefits

• Salary: $215,250.00 - $285,982.00 per annum
• This position is not available for relocation assistance.
• The position is also eligible for equity.
• Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Company Description

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position.

• US based applicants only