Staff Machine Learning Engineer

Chewy Chewy · Retail · Bellevue, WA +1

Staff Machine Learning Engineer at Chewy focused on Sponsored Ads Technology. The role involves deploying ML and data-science models to improve various aspects of the advertising ecosystem, including selection, relevance, ranking, prediction, and auction algorithms. The engineer will lead new models from ideation to production, establish best practices, and potentially publish research. Experience in the advertising domain and building distributed pipelines is required.

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

  • 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.
  • 8+ 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.

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 Advertising
  • Machine learning and deep-learning models
  • LLMs and generative AI
  • applied science
  • production delivery
  • research papers
  • applied-science implementation best practices
  • Sponsored Ads or Advertisement domain
  • Search, Ranking or large-scale embeddings

Other signals

  • Deploying ML models for advertising
  • Improving selection, relevance, ranking, prediction, and auction algorithms
  • Leading new models from ideation to production delivery
  • Publishing research papers in ML/AI/Advertising conferences
  • Establishing applied-science implementation best practices