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# Machine Learning Engineer III

- **Company:** Chewy, Inc.
- **Location:** Boston, MA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $175,053.0 - $249,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Computer Engineering, Serialization, R (Programming Language), Machine Learning, Tensorflow, Scala (Programming Language), Pytorch, Snowflake, Apache Spark, Cloudformation, Pyspark, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Machine Learning Operations, Api Design, Terraform, Docker, Jenkins
- **Published:** June 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b58a2b9f1b9c3a51

## About the Role

Do you have experience in Terraform?, Do you have a Master's degree?, * 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.

## Description

* 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.


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