Machine Learning Engineer III

Our Opportunity:

Chewy is looking for a Machine Learning Engineer III to join our Merchandising Data Science Team. In this role, you will combine an understanding of machine learning, data analysis, statistical testing, and software development. As a Machine Learning Engineer, you will play a meaningful part in crafting, implementing, and deploying machine learning models to address critical 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. You will have the chance to create and develop backend ML frameworks best suited for different business problems and build engineering pipelines to streamline model deployment. Does this sound like you? If so, we would love to hear from you! 

What you'll do:

• 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 innovative 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.
• Use 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 handle containerization solutions (e.g., Docker or equivalent) and orchestration tools (e.g., Kubernetes) for deploying and scaling machine learning applications.
• Collaborate with multi-functional teams, including data scientists, software engineers, and domain experts, to understand requirements and deliver effective solutions.
• Document code, algorithms and ensure reproducibility.
• Provide technical mentorship in standard methodologies for model development and deployment to the data science team.
• Effectively communicate technical concepts and insights to both technical and non-technical customers.

What you'll need:

• Candidate must possess a Graduate Degree (MS or PhD or equivalent experience) in Data Science, Machine Learning, Statistics, Mathematics, or related field.
• 7+ yease of experience in developing and deploying 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.
• 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 coding practices.
• Strong problem-solving skills and the ability to work independently and in a fast-paced environment.
• Excellent oral and written communication skills including collaboration with both technical and non-technical customers.
• Ability to travel up to 10% of the time