Similar Jobs at Chewy
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
The Staff Machine Learning Engineer will develop ML models to enhance ad offerings, collaborate on product improvements, and publish research findings.
Top Skills:
AWSClassificationDeep LearningLinear ProgrammingMachine LearningPersonalizePredictive ModelsRegressionSagemakerTime Series
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
The Senior Product Manager will drive subscription growth and retention by defining strategy, leading product execution, and delivering impactful results on Chewy's Autoship service.
Top Skills:
SQL
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
Lead and grow a software engineering team building scalable, cloud-native systems and data platforms for fulfillment center operations. Drive technical direction, delivery, observability, and cross-functional collaboration while coaching team members and ensuring system performance and reliability.
Top Skills:
AWSAzureGCPJavaPython
At Chewy, it is our mission to become the most trusted and convenient online destination for pet parents and our partners vets and service providers alike. Our success is measured by the happiness of the people and pets we serve, not simply by the amount of pet supplies we deliver. That's why we continue to think of outside-the-Chewy-box ways to delight, surprise, and thank our loyal pet lovers!
Our Opportunity:
Marketing is a critical component of the ecommerce ecosystem and provides the core of the customer's first experience at Chewy. At Chewy, we are seeking a Staff Machine Learning Engineer to serve as a technical anchor for our Marketing Science and Operations Technology team (Martech). This role is pivotal in shaping the future of our machine learning capabilities and infrastructure. As a Staff MLE, you will provide hands-on technical leadership-designing, building, and deploying scalable ML systems-while mentoring engineers and guiding architectural decisions across the organization. You'll partner closely with product engineering, data science, and leadership to ensure our models and platforms deliver measurable impact to users and the business.
This is both a strategic and execution-focused role: you'll balance deep technical contributions with cross-functional collaboration, setting best practices for experimentation, deployment, and monitoring of ML systems. The ideal candidate is not only highly skilled in building and scaling production ML but also thrives in shaping engineering culture and helping the team grow through mentorship and influence.
What you'll do:
What You'll Need:
Bonus:
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant.
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Base Salary Range
$185,000-$296,000 USD
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. 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 [email protected].
To access Chewy's Customer Privacy Policy, please click here.
To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
Our Opportunity:
Marketing is a critical component of the ecommerce ecosystem and provides the core of the customer's first experience at Chewy. At Chewy, we are seeking a Staff Machine Learning Engineer to serve as a technical anchor for our Marketing Science and Operations Technology team (Martech). This role is pivotal in shaping the future of our machine learning capabilities and infrastructure. As a Staff MLE, you will provide hands-on technical leadership-designing, building, and deploying scalable ML systems-while mentoring engineers and guiding architectural decisions across the organization. You'll partner closely with product engineering, data science, and leadership to ensure our models and platforms deliver measurable impact to users and the business.
This is both a strategic and execution-focused role: you'll balance deep technical contributions with cross-functional collaboration, setting best practices for experimentation, deployment, and monitoring of ML systems. The ideal candidate is not only highly skilled in building and scaling production ML but also thrives in shaping engineering culture and helping the team grow through mentorship and influence.
What you'll do:
- You will lead new models from conceptualization to experimentation, and eventually to production delivery to improve Chewy products offerings and advance applied science applications.
- 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 and marketers.
- 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:
- 7+ years of experience in applied machine learning, data science, or ML engineering, with at least 2+ years working at Staff/Principal level or equivalent technical leadership capacity.
- Proven track record of designing, building, and deploying ML models into production at scale.
- Strong software engineering foundations (Python, Java/Scala, or similar) with experience in backend or platform development.
- Expertise in ML lifecycle tooling using Databricks with MLflow and Airflow.
- Deep knowledge of data pipelines, feature stores, and distributed training/serving systems.
- Ability to set technical direction and influence cross-functional teams through architecture reviews, design documents, and mentorship.
- Strong communication skills and the ability to partner effectively with product managers, software engineers, and leadership
Bonus:
- Experience in e-commerce or retail.
- Exposure to front-end or product-facing integration of ML features.
- Prior experience mentoring and growing engineers into more senior technical roles.
- Advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, or a related field.
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant.
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Base Salary Range
$185,000-$296,000 USD
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. 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 [email protected].
To access Chewy's Customer Privacy Policy, please click here.
To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
Chewy Bellevue, Washington, USA Office
1110 112th Ave NE, Bellevue, WA, United States, 98004
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

