Machine Learning Engineer III

  • Bellevue, WA
  • Posted 60+ days ago | Updated 17 hours ago

Overview

On Site
USD 146,500.00 - 234,500.00 per year
Full Time

Skills

Merchandising
Data Analysis
Testing
Retail operations
FOCUS
Predictive analytics
Natural language processing
Computer vision
Research
Design
Workflow
Training
Scalability
Provisioning
Management
Data
Mentorship
Software deployment
Data Science
Mathematics
Algorithms
Statistics
Machine Learning (ML)
Deep learning
Programming languages
Python
SQL
Cloud computing
Amazon Web Services
Terraform
Orchestration
Docker
Kubernetes
Version control
Git
Software development
Problem solving
Communication
Collaboration
Backup
Telemedicine
Insurance
Regulatory Compliance
Law
Privacy
Policies

Job Details

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

Compensation & Benefits:

Our salary range for a Applied Scientist III position is $146,500.00 - $234,500.00. 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.

We offer different types of insurance, 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.

Salaried-exempt 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 committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. 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 .

If you have a question regarding your application, please contact .

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