Pinterest is seeking a Machine Learning Engineer II to build cutting-edge technology using the latest advances in deep learning and machine learning to personalize the platform.
The role involves partnering closely with teams across Pinterest to experiment and improve Machine Learning models for various product surfaces, including Homefeed, Ads, Growth, Shopping, and Search.
The engineer will use data-driven methods and leverage the unique properties of Pinterest's data to enhance candidate retrieval.
The position requires working in a high-impact environment with quick experimentation and product launches while keeping up with industry trends in recommendation systems.
Telecommuting is permitted for this role.
Requirements:
A Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a closely related quantitative discipline is required.
Candidates must have at least one (1) year of experience in the job offered or in any occupation in a related field.
Special skills required include proficiency in Python, R, SQL, MATLAB, and PyTorch.
Candidates should have experience in statistical analysis, building machine learning models, deep neural networks, ETL (Extract, Transform, Load), and recommender systems.
Any suitable combination of education, training, and/or experience is acceptable.
Benefits:
The salary range for this position is $203,490.00 - $267,272.00 per annum.
The position is also eligible for equity.
Pinterest is committed to creating an equitable, inclusive, and inspiring workplace for every employee.
The company provides transparency regarding salary and considers various factors for final salary determination, including location, travel, relevant prior experience, and particular skills and expertise.