Machine Learning Engineer I Intern

Posted 23 Hours Ago
Be an Early Applicant
Bellevue, WA
Hybrid
35-35 Annually
Internship
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere.
The Role
As a Machine Learning Engineer I Intern, you will design, implement, and deploy machine learning models for pricing solutions while collaborating with senior team members, performing code reviews, and ensuring data quality in both development and production environments.
Summary Generated by Built In

Internship Opportunity: 

We are seeking a passionate Machine Learning Engineer I Intern to join our Pricing Data Science team for Summer 2025! Our team is pivotal in designing, implementing, and deploying machine learning models to tackle complex challenges like anomaly detection, establishing dynamic guardrails, and reducing volatility in our pricing operations. We generate algorithmic prices for tens of thousands of products daily, ensuring the publication of error-free and validated prices—an essential aspect of our business. You'll have the opportunity to work with our expert team members in machine learning and cloud technologies, focusing on deploying solutions that integrate seamlessly with our big data architecture. Join us in developing backend ML frameworks tailored to diverse pricing problems and building engineering pipelines that streamline model deployment. 

Intern Timeframe: June 2, 2025 – August 8, 2025 (must be available for the full duration) 

Qualified Students: Current 1st year Master’s student with anticipated graduation of Spring 2026  

What You'll Do 

  • Tackle one or two critical pricing business problems by selecting appropriate Generative AI (Gen AI) or machine learning solutions, designing, testing, and implementing these solutions into reliable frameworks 
  • Collaborate with and work under the guidance of senior team members to handle big data and predictive applications during the development and implementation phases, gaining valuable industry insights 
  • Contribute to the codebase by implementing and testing machine learning solutions using programming languages like Python or Java, and identifying and resolving bugs in the model development process 
  • Participate in code reviews and incorporate feedback to fine-tune and improve code quality while learning best practices in software development 
  • Assist in training existing machine learning models and monitor data quality in both development and production environments to ensure optimal platform performance 
  • Perform basic data analysis to identify patterns, refining and cleaning data to enhance model building 

What You'll Need 

  • Enrolled full-time in a Master's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field, with an anticipated graduation date of Spring 2026 
  • Fundamental understanding of machine learning concepts and algorithms. 
  • Proficiency in at least one programming language (e.g., Python, Java, or Scala). 
  • Basic knowledge of data structures, algorithms, and software development principles 
  • Strong analytical and problem-solving skills 
  • Excellent verbal and written communication abilities 
  • Ability to work effectively in a team-oriented environment 

 

Bonus: 

  • Familiarity with cloud platforms such as AWS, including tools like SageMaker, Redshift, or Snowflake 
  • Exposure to machine learning frameworks like TensorFlow, PyTorch, or scikit-learn 
  • Experience with big data technologies such as Spark or Hadoop 
  • Prior internship or project experience in machine learning or data science 

 

Join our team and contribute to impactful projects that drive our business forward. We look forward to building the future of pricing technology together! 


#LI-DNI

The specific hourly range 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.

 

We offer different types of insurance, 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.

 

Non-exempt hourly team members accrue paid time off (PTO) subject to manager approval. Non-exempt hourly team members in Fulfillment Centers and Customer Service are also eligible for additional unplanned unpaid time off (UTO). 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.

Pay Range

$35$35 USD

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 [email protected].


If you have a question regarding your application, 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.

Top Skills

Java
Python
Scala

What the Team is Saying

Charles
Paul
Olivia
Mark
Victoria
Sumit
Zack
The Company
HQ: Boston, MA
20,000 Employees
Hybrid Workplace
Year Founded: 2011

What We Do

We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.

We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.

At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.

Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.

We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.

We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.

Our culture is for those who thrive on delivering results and becoming your best—no matter your role or location. At Chewy, our Operating Principles serve as a common language, or framework, that connects two of Chewy's most valuable elements—our people and our culture. The Operating Principles guide our character, capabilities, imagination, and methods for execution in support of our company's mission.

Why Work With Us

We're proud to be one of the fastest growing e-commerce companies of all time.

With growth comes the exciting opportunity to be a part of a world-class organization of engineering, product, and design team members, responsible for driving our latest innovations and designing "out-of-the Chewy box" experiences.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week
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