Machine Learning Engineer III

Chewy

3

(2)

Boston, MA

#6534790

Position summary

is 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 resource planning optimization, predictive analytics, time-series forecasting and natural language processing.

  • Research and implement innovative science-based algorithms to address specific business challenges.

  • Design and implement end-to-end machine learning workflows (including data preprocessing, model training, and deployment) using AWS cloud (such as Sagemaker).

  • 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.

  • Deploy science models by using pipeline established by engineers using provisioning, cloud resource management and containerization as necessary.

What you'll need:

  • Candidate must possess a Graduate Degree (MS or PhD or equivalent experience) in Data Science, Machine Learning, Statistics, Operations Research, or related field.

  • 5+ years of experience in developing and deploying production-level systems by using combinations of algorithms (optimization and/or simulation) and machine learning models in a production environment.

  • Experience in the following areas: machine learning, forecasting, reinforcement learning, optimization and simulation. Understanding of deep learning techniques (Reinforcement Learning) is a plus.

  • Proficiency and expertise in developing science models using Python, Java or similar languages, as well as expertise in SQL.

  • Proficiency with version control systems (e.g., Git) and coding practices.

  • Strong understanding of cloud platforms for ML pipeline such as AWS Sagemaker.

  • Experience with containerization & orchestration tools (e.g. Docker, Kubernetes) and Infrastructure as Code tools (e.g., Terraform, CloudFormation) is a plus.

  • 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

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 [email protected].

If you have a question regarding your application, please contact [email protected].

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