Workday-posted 8 months ago
$122,400 - $183,600/Yr
Full-time • Mid Level
Boulder, CO
Publishing Industries

At Workday, we are looking for a Machine Learning Engineer to join the ML - Document Intelligence team to drive the design and development of our core Document Intelligence Platform as a Service. In this role, you will work on building and optimizing critical features like generic document entity extraction, entity resolution, and document classification, leveraging cutting-edge AI/ML techniques. Your primary focus will be to support the design and implementation of LLM-based technologies for document parsing, entity extraction, and classification tasks. You will apply traditional ML and deep learning techniques to continuously enhance the accuracy, efficiency, and scalability of our document intelligence models. Additionally, you will build scalable ML pipelines and services for data preprocessing, feature engineering, training, and inference, enabling high-volume document processing workflows. You will also perform exploratory data analysis (EDA) on diverse document datasets to uncover valuable insights, optimize feature engineering, and inform model development.

  • Support the design and implementation of LLM-based technologies for document parsing, entity extraction, and classification tasks.
  • Apply traditional ML and deep learning techniques to enhance the accuracy, efficiency, and scalability of document intelligence models.
  • Build scalable ML pipelines and services for data preprocessing, feature engineering, training, and inference.
  • Perform exploratory data analysis (EDA) on diverse document datasets.
  • Collaborate with software engineers, Workday app developers, product managers, and other ML teams.
  • Take ownership for finding creative solutions that move projects forward.
  • Write clean, maintainable, and testable code following best practices in software engineering.
  • Conduct code reviews, participate in design discussions, and engage in collaborative team activities.
  • 4+ years experience as part of a data science, machine learning software development team or relevant work in a PhD program.
  • 3+ years of experience with Python and ML frameworks such as PyTorch or TensorFlow.
  • 2+ years experience related to machine learning, deep learning, NLP, GenAI, multi-agent AI systems, distributed training, model hosting, etc.
  • 3+ years experience in handling large-scale, complex data sets, data modeling, and productizing machine learning algorithms.
  • Strong knowledge of both classical machine learning and deep learning.
  • Working knowledge of LLMs and their use in building agentic systems.
  • Proficiency with using Spark for large-scale data processing.
  • Excellent communication and collaboration skills, with a strong focus on team success and customer impact.
  • Workday Bonus Plan eligibility.
  • Role-specific commission/bonus eligibility.
  • Annual refresh stock grants.
  • Flexible work schedule with a combination of in-person and remote work.
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