[Hiring] Senior Machine Learning Engineer @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).
• Gain knowledge of how ML works in different areas.
• Use data driven methods and leverage the unique properties of our data to improve candidates’ retrieval and ranking.
• Work in a high-impact environment with quick experimentation and product launches.
• Keep up with industry trends in recommendation systems.
• Leverage LLMs and embeddings to enhance content understanding.
• Telecommuting and/or remote work is permitted.

Qualifications

• Master’s degree (or its foreign degree equivalent) in Computer Science, Statistics, or closely related quantitative discipline.
• Three (3) years of experience in the job offered or in a related software engineering field.

Requirements

• At least three (3) years of experience with each of the following:
• Pytorch
• Tensorflow
• LATEX
• Scikit-learn
• SQL
• Python
• Java
• Hive
• Recommendation Algorithms
• git
• Spark
• R
• MATLAB
• Natural Language Processing
• Deep Learning

Benefits

• Salary: $277,000.00 - $332,012.00 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

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws.

If you require a medical or religious accommodation during the job application process, please complete this form for support.