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Description:
The role involves contributing to cutting-edge research in machine learning and artificial intelligence applicable to Pinterest problems.
Responsibilities include collecting, analyzing, and synthesizing findings from data to build intelligent data-driven models.
The position requires writing clean, efficient, and sustainable code.
The candidate will use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across growth, discovery, ads, and search.
The role involves scoping and independently solving moderately complex problems.
Telecommuting is permitted.
Requirements:
A PhD, or foreign equivalent, in Computer Science, Engineering (any field), or a closely related quantitative discipline is required, OR a Master’s degree, or foreign equivalent, in Computer Science, Engineering (any field) or a closely related quantitative discipline, along with three (3) years of experience in the job offered or a related field.
Special skills required include proficiency in TensorFlow, PyTorch, Python, Kubernetes, Spark, Docker, Information Retrieval, Recommendation Systems, Golang, and Large Language Models.
Any suitable combination of education, training, and/or experience is acceptable.
Telecommuting is permitted.
Benefits:
The salary range for this position is $235,000.00 - $292,128.00 per annum.
The position is eligible for equity.
Final salary is based on various factors including location, travel, relevant prior experience, or particular skills and expertise.
Pinterest promotes an equitable, inclusive, and inspiring workplace for every employee.