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Staff Machine Learning Engineer

Today Boston, MA

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.

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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 CAAR@chewy.com.

 

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Client-provided location(s): Boston, MA, Bellevue, WA
Job ID: 7203127
Employment Type: OTHER
Posted: 2025-09-05T18:35:21

Perks and Benefits

  • Health and Wellness

    • FSA
    • HSA
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • Mental Health Benefits
  • Parental Benefits

    • Non-Birth Parent or Paternity Leave
    • Birth Parent or Maternity Leave
    • Adoption Assistance Program
  • Work Flexibility

    • Remote Work Opportunities
    • Flexible Work Hours
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Company Outings
    • Commuter Benefits Program
    • Pet-friendly Office
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Casual Dress
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Personal/Sick Days
    • Paid Holidays
    • Unlimited Paid Time Off
    • Paid Vacation
    • Leave of Absence
    • Summer Fridays
  • Financial and Retirement

    • Performance Bonus
    • 401(K) With Company Matching
    • 401(K)
    • Company Equity
    • Relocation Assistance
    • Financial Counseling
    • Stock Purchase Program
  • Professional Development

    • Promote From Within
    • Mentor Program
    • Lunch and Learns
    • Internship Program
    • Leadership Training Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Professional Coaching
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Unconscious Bias Training