Machine Learning Engineer III

Job Description: Machine Learning Engineer III Boston, MA – Merchandising – Full time – R29868 Job Description: What you’ll do: 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. 20% domestic travel required. Telecommuting permitted up to 2 days per week. What you’ll need: Minimum Requirements: Master’s degree or foreign equivalent in Operations Research, Data Science, Computer Engineering, Computer Science, Statistics, Applied Mathematics, or related field., plus 5 years of experience in an Operations Research Analysts or a related position/occupation. Alternate Education and Experience: PhD degree or foreign equivalent in Operations Research, Data Science, Computer Engineering, Computer Science, Statistics, Applied Mathematics, or related field., plus 2 year(s) of experience in an Operations Research Analysts or a related position/occupation. Full term of experience must include: Amazon Web Services tools such as Redshift, Snowflake, SageMaker or other similar platforms. and R, PySpark, Spark, Scala, Java, PyTorch, TensorFlow, Docker. Experience must also include: Jenkins. Terraform. MLflow. Model Serialization. Inference Optimization. API development. Employer: Chewy, Inc. Office Address: 343 Congress Street, Boston, MA 02210 The base salary range for this role is $175,053.00 to $249,000.00 per year 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. C08+ positions may also be eligible for annual bonus. 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. 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 View email address on click.appcast.io. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here. Watch Here At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere. Rooted in our mission to be the most trusted and convenient destination for pet parents and partners, everywhere, we’re guided by our Chewy Operating Principles (or OPs for short), which serve as a common framework that drives our character, capabilities, ingenuity and operations. Our 10 Operating Principles guide us every day: • Customers First • Deliver Results • Earn Trust • Accelerate Time • Act as an Owner • Debate Openly; Commit Fully • Build High-Performing Teams • Keep it Simple • Think Big