Machine Learning Engineer III, Sponsored Ads Job at Chewy, Washington DC

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  • Chewy
  • Washington DC

Job Description

Our Opportunity:

The Chewy Sponsored Ads team is looking for a Senior Machine Learning Engineer in Bellevue WA to help launch various innovative ads-offerings for our sponsored advertisement initiatives. As advertising is a critical component of our e-commerce ecosystem this role will help provide a critical revenue stream to the company!

As a member of our Sponsored Ads development team you will influence technical strategy across product search and discovery as well as the relevance ranking prediction and auction of a large selection of our sponsored ads offering (both onsite and offsite). Youll be at the forefront of leading technology business impact applying machine learning and deep-learning models that will influence selection relevance ranking click-through prediction modelling auction-dynamics keywords recommendation campaign optimization ads channel performance ads performance maximization and wide array of engaging data-science methodologies (including but not limited to LLMs and generative AI).

Sponsored Ads composes a win-win ecosystem for shoppers brand owners and Chewy! Our Pet Parent customers are offered a range of alternate options to help them choose and learn about new products new brands new promotions and different price points. Brand owners and advertisers get to showcase their product offerings in the front row for their target audience (proud pet parents) and improve their reach.

Come be part of the Sponsored Ads teams impactful journey at Chewy!

What youll do:

  • Deploy machine learning and data-science to simplify shopping experience for pet-parents to improve reach and discovery of new products of Chewy vendors and helping build a mutually beneficial ecosystem.
  • 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.
  • Lead new models from ideation to experimentation and eventually to production delivery to build and improve Chewy products offerings and advance applied science applications.
  • Publish research papers in leading ML/AI/Advertising conferences solving problems for scale using innovative modelling.
  • Establish high bar on model performance establish applied-science implementation standard methodologies and mentoring junior scientists.
  • Deploy solutions at Chewy scale improving overall customer engagement and value for Pet Parents.
  • Formalizing proposals and communicating verbally and in writing to Chewy Senior Leadership and business customers with varying levels of technical knowledge educating them about our research as well as sharing insights and recommendations.

What Youll Need:

  • 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 crafting optimization and machine learning solutions for large scale applications.
  • 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.

Bonus:

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

Job Tags

Full time,

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