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Description:
The Machine Learning Engineer II at Pinterest will be responsible for breaking down complex problems and implementing creative algorithms using state-of-the-art techniques.
They will utilize machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads, and search.
The role involves understanding user interests and intent to build systems and machine learning models that drive recommendations to users at scale.
The Engineer will also be involved in launching user features and experiments driven by ML and recommendations.
Telecommuting is permitted for this position.
Requirements:
A Master’s degree or foreign equivalent in Computer Science, Mathematics, Engineering, or a closely related quantitative discipline is required.
One (1) year of experience in the job offered or in any occupation in a related field is necessary.
Special skills in Machine Learning, Data Mining, Numerical Stimulation, Databases, MapReduce, Hadoop, Distributed Systems, PyTorch, TensorFlow, and Linux are essential.
Any suitable combination of education, training, and experience is acceptable.
Benefits:
The salary for this position ranges from $190,391.82 to $234,665.00 per annum.
The position is not available for relocation assistance.
The role is eligible for equity, and the final salary is based on factors like location, travel, relevant prior experience, or particular skills and expertise.
Pinterest promotes an equitable, inclusive, and inspiring workplace for every employee.
US-based applicants only are considered for this position.