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Description:
Build cutting edge technology using deep learning and machine learning to personalize Pinterest.
Collaborate with various teams to enhance machine learning models for different product surfaces like Homefeed, Ads, Growth, Shopping, and Search.
Utilize data-driven methods to enhance candidate retrieval leveraging unique data properties.
Stay updated on industry trends in recommendation systems.
Work in a high-impact environment with rapid experimentation and product launches.
Telecommuting is permitted.
Requirements:
Master’s degree in Computer Science, Machine Learning, Statistics, or a related quantitative discipline.
Minimum of two years of experience in a related field.
Special skills in User Modeling, Natural Language Processing, Recommender Systems, TensorFlow, Spark, Hadoop, Search and Ranking, Graph Representation Learning, and PyTorch.
Ability to work effectively in a fast-paced environment.
Benefits:
Competitive salary range of $200,000.00 - $253,692.00 per annum.
Eligibility for equity.
Progressive work model called PinFlex offering flexibility in living and working.
Inclusive and inspiring workplace culture.
Opportunity for personal and professional growth.
Transparent salary range and commitment to diversity and equal opportunity employment.