Remote Machine Learning Engineer II

at Pinterest Job Advertisements

Posted 1 day ago 4 applied

Description:

  • Pinterest is seeking a Machine Learning Engineer II to build cutting-edge technology using the latest advances in deep learning and machine learning to personalize the platform.
  • The role involves partnering closely with teams across Pinterest to experiment and improve ML models for various product surfaces, including Homefeed, Ads, Growth, Shopping, and Search.
  • The engineer will use data-driven methods and leverage the unique properties of Pinterest's data to enhance candidate retrieval.
  • The position requires working in a high-impact environment with quick experimentation and product launches.
  • The engineer will keep up with industry trends in recommendation systems and leverage large language models (LLMs) to enhance content understanding.
  • Telecommuting is permitted for this position.

Requirements:

  • A Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a closely related quantitative discipline is required.
  • The candidate must have at least two (2) years of experience in the job offered or in any occupation in a related field.
  • Special skills required include:
    1. Natural language processing
    2. Large scale recommender systems
    3. Proficiency in Python
    4. Experience with TensorFlow
    5. Knowledge of deep learning
    6. Familiarity with Angular
    7. Experience with PySpark
    8. Knowledge of Big Data
    9. Experience with data processing pipelines
    10. Proficiency in Git
  • Any suitable combination of education, training, and/or experience is acceptable.

Benefits:

  • The salary range for this position is $210,000.00 - $267,272.00 per annum.
  • The position is also eligible for equity.
  • Final salary is based on various factors including location, travel, relevant prior experience, and particular skills and expertise.
  • Pinterest is committed to creating an equitable, inclusive, and inspiring workplace for every employee.