Machine Learning Engineer III

$146,500 - $234,500/Yr

Chewy - Bellevue, WA

posted 27 days ago

Full-time - Mid Level
Bellevue, WA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Machine Learning Engineer III position at Chewy involves being a key member of the newly established Sponsored Advertising team, focusing on deploying machine learning and data science to enhance the shopping experience for pet parents. This role is pivotal in influencing technical strategies related to product search, relevance, ranking, and auction processes for sponsored products. The engineer will lead the development of new models, publish research, and communicate findings to senior leadership, all while establishing high standards for model performance and mentoring junior scientists.

Responsibilities

  • Deploy machine learning and data science to simplify the shopping experience for pet parents.
  • Collaborate with Product and Engineering leaders to evolve solutions using applied science.
  • Lead new models from play-test to experimentation and production delivery.
  • Publish research papers in leading ML/AI/Advertising conferences.
  • Establish high standards on model performance and methodologies.
  • Deploy solutions at Chewy scale to improve customer engagement.
  • Communicate proposals and insights to Chewy Senior Leadership and business customers.

Requirements

  • An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field, or 5+ years' experience in designing optimization and machine learning solutions.
  • Ability to understand and apply advanced mathematics and data science methodologies.
  • Experience in building distributed pipelines, tuning, optimizing, and evaluation.
  • Experience with predictive models, linear programming, and classification techniques.
  • Ability to translate complex data sets into simple business recommendations.

Nice-to-haves

  • Experience in e-commerce or retail.
  • Experience with ML Services in AWS (SageMaker, Personalize).

Benefits

  • 401k
  • medical/Rx insurance
  • vision insurance
  • dental insurance
  • life insurance
  • disability insurance
  • hospital indemnity insurance
  • critical illness insurance
  • accident insurance
  • parental leave
  • family services benefits
  • backup dependent care
  • flexible spending accounts
  • telemedicine
  • pet adoption reimbursement
  • employee assistance program
  • discounts on pet insurance and Chewy.com
  • unlimited PTO
  • six paid holidays per year
  • paid sick and family leave.
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