Machine Learning Engineer III




Boston, MA


Position summary

at 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 state-of-the-art 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.

  • 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.

  • Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements and deliver effective solutions.

  • Document code, algorithms, and processes to facilitate knowledge sharing and ensure reproducibility.

  • Provide technical guidance in best practices for model development and deployment to the data science team.

  • Effectively communicate complex technical concepts and insights to both technical and non-technical stakeholders.

What you'll need:

  • Candidate must possess a Graduate Degree (MS/PhD) in Data Science, Machine Learning, Statistics, Mathematics, or related discipline.

  • 7+ years of experience in developing and deploying advanced 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.

  • Advanced 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 collaborative coding practices.

  • Strong problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.

  • Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders.

  • 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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