Machine Learning Engineer III

Chewy, Inc.
Boston, MA, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$175,053.0 - $249,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Amazon Web Services Computer Engineering Serialization R (Programming Language) Machine Learning Tensorflow Scala (Programming Language) Pytorch Snowflake Apache Spark Cloudformation
+9 more
Pyspark Kubernetes Infrastructure Automation Frameworks Information Technology Machine Learning Operations Api Design Terraform Docker Jenkins

Job 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.

Requirements

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.

Benefits & conditions

Pulled from the full job description

  • Pet insurance
  • Parental leave
  • 401(k)
  • Health insurance
  • Vision insurance
  • Dental insurance
  • Family leave, 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

1:02 min

Applying an ETL methodology to infrastructure configuration management

Axel Barbier · WWC 2023

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

Videos

See all

Related articles

See all