Senior Machine Learning Engineer

Chewy Chewy · Retail · Bellevue, WA +1

Senior Machine Learning Engineer at Chewy to work on Sponsored Ads Technology, influencing technical strategy across product search, discovery, relevance, ranking, prediction, and auction. The role involves deploying ML/DL models for ads offerings, optimizing selection, relevance, ranking, click-through prediction, and auction algorithms, and leading new models from ideation to production. Experience with sponsored ads, predictive models, classification, search, ranking, and large-scale embeddings is required. The role also involves publishing research and mentoring junior scientists.

What you'd actually do

  1. You will deploy machine learning and data-science to simplify shopping experience for pet-parents, to maximize reach and discovery of new products of Chewy vendors and helping create a win-win ecosystem.
  2. Directly influence and collaborate with Product and Engineering leaders to evolve solutions using applied science to improve selection, ranking, relevance, deal-offerings, click through prediction models, dynamic bidding, and auction algorithms for Chewy onsite and offsite advertising solutions.
  3. You will lead new models from ideation to experimentation, and eventually to production delivery to improve Chewy products offerings and advance applied science applications.
  4. Publish research papers in leading ML/AI/Advertising conferences solving problems for scale using innovative modelling.
  5. Establish high bar on model performance, establish applied-science implementation best practices and mentoring junior scientists.

Skills

Required

  • An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or proven experience for at least 3 years designing optimization and machine learning solutions for large scale applications.
  • 6+ years of experience working in Machine Learning
  • Ability to understand and apply sophisticated mathematics and DS methodologies.
  • Experience in building distributed pipeline, tuning, optimizing and evaluation.
  • Experience with Sponsored Ads or Advertisement domain.
  • Experience with multiple techniques that include Predictive Models (Time Series and Regression), Linear Programming, and Classification, Search, Ranking or large-scale embeddings.
  • Ability to translate complex data sets and research into simple business recommendations.

Nice to have

  • Experience in e-commerce or retail.
  • Prior experience in Advertising systems a huge plus.
  • Experience with ML Services in AWS (SageMaker, Personalize) or equivalent.

What the JD emphasized

  • Sponsored Ads Technology
  • Sponsored Ads
  • Sponsored Advertising

Other signals

  • Sponsored Ads Technology
  • Machine learning and deep-learning models
  • LLMs and generative AI