Senior Machine Learning Engineer

4 weeks ago


Mountain View, California, United States Moveworks Full time
Job Description

Moveworks is seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our ML infrastructure team, you will be responsible for designing, building, and optimizing scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.

You will work closely with our machine learning team, data infrastructure team, and other cross-functional teams to build new features and drive best practices in ML and data engineering. If you have a passion for research and a love of research publications in the machine learning and software engineering communities, we want to hear from you.

Key Responsibilities:

  • Design and build scalable machine learning infrastructure to support training, evaluation, and deployment of large language models
  • Collaborate with cross-functional teams to build new features and drive best practices in ML and data engineering
  • Develop and maintain high-quality, performant code in Python and other languages
  • Work closely with the machine learning team to ensure seamless integration of ML models with our infrastructure

Requirements:

  • 2+ years of industry experience in Machine Learning, Infrastructure, or related fields
  • Experience with deep learning frameworks such as PyTorch or HuggingFace
  • Experience with building and scaling end-to-end machine learning systems
  • Expertise in Python and experience with performant languages such as C++ or GoLang
  • Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field

What We Offer:

  • Market-competitive salary and equity for all full-time roles
  • Exceptional benefits and a comprehensive compensation package
  • Opportunities for professional growth and development in a dynamic and innovative company

Moveworks is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and supportive work environment that values diversity, equity, and inclusion.



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