Sr Machine Learning Engineer

$148,000 - $222,000/Yr

Workday - Boulder, CO

posted about 1 month ago

Full-time - Senior
Boulder, CO
Publishing Industries

About the position

As a Senior Machine Learning Engineer at Workday, you will play a crucial role in developing and implementing personalized recommendation systems and generative AI applications within the Human Capital Management space. This position involves collaborating with other engineers and product teams to create machine learning solutions that enhance user experiences across Workday's product ecosystem. You will lead projects from design to deployment, utilizing Workday's extensive datasets to drive impactful business decisions for our customers.

Responsibilities

  • Research, develop, and build scalable personalized recommendation systems and generative AI applications.
  • Collaborate with ML engineers, software developers, and product teams to deliver ML solutions.
  • Lead projects from specification design to deployment and ongoing monitoring.
  • Utilize Workday's datasets to deliver value that transforms customer decision-making.
  • Apply creative thinking and problem-solving skills to address challenges in machine learning.

Requirements

  • Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field.
  • 6+ years of experience in data science, machine learning, or related software development.
  • 6+ years of experience in Python and supporting numeric libraries, with a focus on production code and models.
  • 4+ years of experience with machine learning and deep learning frameworks such as Pytorch and Sklearn.
  • Practical experience with generative models, large language models, transformer neural networks, recommendation systems, and graph neural networks.

Nice-to-haves

  • PhD or MS degree in a relevant field such as Computer Science, Mathematics, or Engineering.
  • Publications in machine learning research.
  • Experience with cloud computing platforms (e.g., AWS, GCP) and containerization technologies (e.g., Docker).
  • Experience in developing and deploying machine learning solutions using large-scale datasets.

Benefits

  • Workday Bonus Plan eligibility
  • Annual refresh stock grants
  • Flexible work schedule
  • Comprehensive benefits package
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