ML Platform Engineer

About the role

Join Stitch Fix to build and enhance the machine learning infrastructure that powers our personalized styling services. You will contribute to systems that enable data scientists and engineers to develop, deploy, and monitor ML models efficiently. This role is central to our ability to innovate and deliver exceptional client experiences.

Key facts

What you'll do

• Develop and maintain scalable infrastructure for machine learning model training and deployment.
• Implement tools and processes to improve the productivity of data scientists and ML engineers.
• Collaborate on the design and architecture of our ML platform, ensuring reliability and performance.
• Contribute to the operational aspects of ML systems, including monitoring and troubleshooting.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.
• 2 to 4 years of professional experience in software engineering or ML engineering.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with containerization technologies like Docker and Kubernetes.
• Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

Nice to have

• Master's degree or PhD in a relevant field.
• Experience with MLOps tools and best practices.
• Contributions to open-source ML projects.

Skills & tools

• Python
• Docker
• Kubernetes
• AWS/GCP/Azure
• TensorFlow/PyTorch/Scikit-learn

Practical notes

• Stitch Fix sponsors H1B visas.
• This is a remote position within the USA.