Workday-posted 6 months ago
$307,200 - $460,800/Yr
Full-time • Senior
Hybrid • Boulder, CO
Publishing Industries

The Machine Learning team is seeking a strategic and technical Director of Machine Learning to join the Agent Factory org and directly participate in crafting, implementing, and delivering highly scalable Machine Learning products and AI agents for Workday. As a leader of this fast-paced group you will have a unique opportunity to expand the team and build services that power Workday ML features in production. In this role, you will lead and partner with Machine Learning Engineers, Software Engineers, and Product Managers to build the technology that brings these features to life. Set the vision and strategy for the ML organization that builds our HCM and FIN focused services. Take part in all phases of the ML software development lifecycle, including requirements analysis, data selection, methodological exploration, technical design, software construction, quality assurance, and integration with the Workday ecosystem. Scope and craft new machine learning products and features in conjunction with product management. Participate in the agile development process, including scheduling and estimation of machine learning software project tasks. Act as service owner and support events like upgrades, feature requests, and infrastructure changes. Lead your team in designating the main effort from among contending team priorities. Inspire your team and enable their career growth. Identify and remove roadblocks for your team's success. Build strong relationships with partner teams both upstream and downstream of your service.

  • Lead and partner with Machine Learning Engineers, Software Engineers, and Product Managers to build technology for ML features.
  • Set the vision and strategy for the ML organization focused on HCM and FIN services.
  • Participate in all phases of the ML software development lifecycle.
  • Scope and craft new machine learning products and features with product management.
  • Participate in the agile development process, including scheduling and estimation of tasks.
  • Act as service owner and support events like upgrades and feature requests.
  • Inspire team members and enable their career growth.
  • Identify and remove roadblocks for team success.
  • Build strong relationships with partner teams.
  • A master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
  • Minimum of 8-10 years of industry experience in machine learning, with at least 3-5 years in a leadership or managerial role.
  • Proficiency in programming languages such as Python and experience with complex data pipelines and ML libraries.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark, Hadoop).
  • Expertise in generative AI, ML algorithms, and frameworks such as Hugging Face, Tensorflow, PyTorch, etc.
  • Up to date knowledge in state of the art LLMs, RAG, and Agentic frameworks.
  • Strong understanding of deep learning architectures, natural language processing, computer vision, and other relevant areas of machine learning.
  • Proven track record of successfully leading and delivering complex machine learning projects at scale.
  • Excellent communication and facilitation skills.
  • Experience presenting effectively to both technical and non-technical audiences.
  • Background in a fast-paced and complex environment.
  • Workday Bonus Plan eligibility.
  • Annual refresh stock grants.
  • Flexible work schedule with at least 50% in-office time each quarter.
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