Machine Learning Engineer III

Sorry, this job was removed at 03:36 p.m. (CST) on Monday, Aug 05, 2024
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Minneapolis, MN
Hybrid
7+ Years Experience
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

Chewy is looking for a to join our Merchandising Data Science Team. In this role, you will combine an understanding of machine learning, advanced data analysis, statistical testing, and software development. As a Machine Learning Engineer III, you will play a crucial part in designing, implementing, and deploying machine learning models to solve complex problems for our Retail Operations business partners.  The ideal candidate will operate as a full stack data scientist who should have expertise in both machine learning and cloud technologies, with a focus on deploying and scaling machine learning models in cloud environments. In this role, they will have the opportunity to design and develop backend ML frameworks best suited for different business problems and build engineering pipelines to streamline model deployment.


  • Design, develop, and implement machine learning models for various applications, including but not limited to predictive analytics, natural language processing, and computer vision.
  • Research and implement state-of-the-art machine learning algorithms to address specific business challenges.
  • Design and implement cloud architectures tailored for end-to-end machine learning workflows (including data preprocessing, model training, and deployment), ensuring scalability, reliability, and performance.
  • Utilize Infrastructure as Code (IaC) tools, such as Terraform or AWS CloudFormation, to automate the provisioning and management of cloud resources for machine learning.
  • Implement and manage containerization solutions (e.g., Docker) and orchestration tools (e.g., Kubernetes) for deploying and scaling machine learning applications.
  • Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements and deliver effective solutions.
  • Document code, algorithms, and processes to facilitate knowledge sharing and ensure reproducibility.
  • Provide technical guidance in best practices for model development and deployment to the data science team.
  • Effectively communicate complex technical concepts and insights to both technical and non-technical stakeholders.


  • Candidate must possess a Graduate Degree (MS/PhD) in Data Science, Machine Learning, Statistics, Mathematics, or related discipline.
  • 7+ years of experience in developing and deploying advanced machine learning models and algorithms in a production environment.
  • Strong understanding of statistical analysis, machine learning, and deep learning techniques.
  • Expertise in programming languages such as Python.
  • Advanced proficiency with SQL
  • Strong understanding of cloud platforms such as AWS.
  • Proficiency in Infrastructure as Code tools (e.g., Terraform, CloudFormation).
  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Proficiency with version control systems (e.g., Git) and collaborative coding practices.
  • Strong problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
  • Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders.
  • Ability to travel up to 10% of the time



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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