Description

You will build and maintain training and inference infrastructure, moving machine learning models from concept to production.

This role is on-site.

Responsibilities

• Develop and maintain robust training and inference pipelines for production environments.
• Ensure research codebases are organized, reproducible, and easy to use.
• Evaluate new approaches and tools to optimize model performance.
• Stay current with state-of-the-art ML techniques and hardware.

Required Skills

• 5+ years of experience in machine learning engineering.
• Strong proficiency in PyTorch.
• Deep understanding of optimization theory, regularization, and linear algebra.
• Ability to wrangle ML frameworks and debug complex training issues.
• Bachelor's degree in Computer Science, Mathematics, or related field.
• Experience with academic papers and experimental research.

Key Skills

Education

Bachelor's degree