Remote Sr. Machine Learning Engineer

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Description:

  • The role involves building cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest.
  • You will partner closely with teams across Pinterest to experiment and improve machine learning models for various product surfaces, including Homefeed, Ads, Growth, Shopping, and Search.
  • The position requires using data-driven methods and leveraging the unique properties of Pinterest's data to enhance Pinterest Ads Retrieval.
  • You will work in a high-impact environment that emphasizes quick experimentation and product launches.
  • Keeping up with industry trends in recommendation systems is a key responsibility.
  • Telecommuting is permitted.

Requirements:

  • A PhD, or foreign equivalent, in Computer Science, Statistics, or a closely related quantitative discipline is required, OR a Master’s degree, or foreign equivalent, in the same fields along with three (3) years of experience in the job offered or a related field.
  • Special skills required include: (1) Recommender systems; (2) Machine Learning; (3) Deep Neural Network; (4) Natural language processing; (5) Statistical Analysis; (6) Data Visualization; (7) Python; (8) Java; (9) Big data processing; (10) A/B testing; (11) Reinforcement learning.
  • Special skills may be gained through academic coursework, scholastic achievement, or professional experience.
  • Any suitable combination of education, training, and/or experience is acceptable.
  • Telecommuting is permitted.

Benefits:

  • The salary for this position ranges from $230,000.00 to $292,128.00 per annum, along with standard company benefits.
  • The position is also eligible for equity.
  • Final salary is based on various factors including location, travel, relevant prior experience, or particular skills and expertise.
  • Pinterest is committed to creating an equitable, inclusive, and inspiring workplace for every employee.
About the job
Posted on
Job type
Salary
$ 230,000 - 292,128 USD / year
Experience level
PJ
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