The Senior Machine Learning Engineer will develop and deploy advanced ML models to enhance Chewy's advertising solutions, improve product discovery, and drive business impact.
Our Opportunity:
Advertising is a critical component of the ecommerce ecosystem and provides a critical revenue stream to the company. At Chewy, Sponsored Ads team is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite sponsored ads.
As a member to the Sponsored Advertising team, you'll be part of core technical team and will influence technical strategy across product search and discovery, relevance and ranking, prediction, and auction of large selection of sponsored ads offering onsite and offsite. You'll be at forefront of driving technology driven business impact. Machine learning and deep-learning models 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 latest methodologies including but not limited to LLMs and generative AI.
Sponsored Ads creates an outcome where everybody wins ecosystem for shoppers, brand owners and Chewy! Shoppers (pet Parents) are offered a range of alternate options to help them choose better 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 owners) and improve their reach.
Come be part of the Sponsored Ads team's impactful journey at Chewy!
What you'll do:
What You'll Need:
Bonus:
Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.
If you have a question regarding your application, please contact HR@chewy.com.
To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
Advertising is a critical component of the ecommerce ecosystem and provides a critical revenue stream to the company. At Chewy, Sponsored Ads team is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite sponsored ads.
As a member to the Sponsored Advertising team, you'll be part of core technical team and will influence technical strategy across product search and discovery, relevance and ranking, prediction, and auction of large selection of sponsored ads offering onsite and offsite. You'll be at forefront of driving technology driven business impact. Machine learning and deep-learning models 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 latest methodologies including but not limited to LLMs and generative AI.
Sponsored Ads creates an outcome where everybody wins ecosystem for shoppers, brand owners and Chewy! Shoppers (pet Parents) are offered a range of alternate options to help them choose better 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 owners) and improve their reach.
Come be part of the Sponsored Ads team's impactful journey at Chewy!
What you'll do:
- You will 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 create a situation where everyone is happy 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.
- You will lead new models from ideation to experimentation, and eventually to production delivery to 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 processes 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 You'll 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 atleast 3 years designing 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.
Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.
If you have a question regarding your application, please contact HR@chewy.com.
To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
Top Skills
AWS
Data Science
Generative Ai
Llms
Machine Learning
Chewy Bellevue, Washington, USA Office
1110 112th Ave NE, Bellevue, WA, United States, 98004
Similar Jobs at Chewy
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
As a Machine Learning Engineer III at Chewy, you will design, develop, and deploy machine learning models, work with optimization and simulation algorithms, and collaborate with cross-functional teams. You will create backend frameworks and build pipelines for deploying models in cloud environments, primarily using AWS. The role also involves providing mentorship and documentation of algorithms.
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
As a Machine Learning Engineer II, you will enhance product discovery through data science, model deployment, and collaboration with engineering teams.
Top Skills:
AWSGoogle Cloud PlatformPyTorchTensorFlow
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
As a Staff iOS Mobile Engineer, you will lead architecture initiatives, mentor engineers, ensure high-quality app performance, and influence mobile strategies.
Top Skills:
CocoapodsCombineConfluenceFastlaneGitGithub ActionsJIRASwiftSwift Package ManagerSwiftuiWebviewXcodeXcode Cloud
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute