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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 machine learning models for various product surfaces such as Homefeed, Ads, Growth, Shopping, and Search.
Gain knowledge of how machine learning works in different areas and use data-driven methods to improve candidate retrieval.
Work in a high-impact environment with quick experimentation and product launches.
Keep up with industry trends in recommendation systems.
Telecommuting is permitted.
Requirements:
Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or closely related quantitative discipline.
Two (2) years of experience in the job offered or in any occupation in a related field.
Special skills required: PyTorch, Spark, Hadoop, Scikit-Learn, Natural Language Processing, Recommender Systems, Search Ranking, Graph Representation, Data Processing pipelines, and Kubernetes.
Any suitable combination of education, training, and/or experience is acceptable.
Telecommuting is permitted.
Benefits:
Salary: $239,500.00 - $292,128.00 per annum.
Position is not available for relocation assistance.
Eligible for equity in addition to the base salary.
Pinterest promotes an equitable, inclusive, and inspiring workplace for every employee.
US-based applicants only.
Pinterest is an equal opportunity employer, considering all qualified applicants regardless of various factors.