Job Duties: 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 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.
Minimum Requirements: Master's degree (or its foreign degree equivalent) in Computer Science, Statistics, or closely related quantitative discipline and three (3) years of experience in the job offered or in a related software engineering field.
Special Skill Requirements: At least three (3) years of experience with each of the following:
(1) Pytorch;
(2) Tensorflow;
(3) LATEX;
(4) Scikit-learn;
(5) SQL;
(6) Python;
(7) Java;
(8) Hive;
(9) Recommendation Algorithms;
(10) git;
(11) Spark;
(12) R;
(13) MATLAB;
(14) Natural Language Processing; and
(15) Deep Learning.
Salary: $277,000.00 - $332,012.00 per annum
Reference #: L25-163609
This position is not available for relocation assistance.
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. 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.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$277,000-$332,012 USD
