Workday is a Fortune 500 company and a leading AI platform for managing people, money, and agents. As a Machine Learning Engineer in Agent Factory, you will design and build core ML systems for AI agents, collaborating with cross-functional teams to ensure scalable and enterprise-ready solutions.
Responsibilities
• Design and build the core ML systems behind Workday’s next generation of AI agents
• Own how models, agent logic, and orchestration layers come together in production—across the full lifecycle from problem framing and data strategy to deployment, monitoring, and continuous improvement
• Implement and evolve frameworks for LLM-powered agents, including RAG pipelines, workflow orchestration, evaluation, and feedback loops, ensuring solutions are scalable, observable, and enterprise-ready
• Partner closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack
• Stay hands-on with emerging techniques in agentic architectures while applying strong engineering judgment to turn them into systems that are reliable, explainable, and built to operate at global scale
Skills
• 5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
• 2+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
• 2+ years of professional experience in building services to host machine learning models in production at scale
• 2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
• 2+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
• Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation
• Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases
• Professional experience in independently solving ambiguous, open-ended problems and technically leading teams
• Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders
• Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement
• Master's or PhD degree in engineering, computer science, physics, math or equivalent
Benefits
• Workday Bonus Plan
• Annual refresh stock grants
Company Overview
• Workday provides SaaS-based enterprise solutions for a company's human resources and financial management activities. It was founded in 2005, and is headquartered in Pleasanton, California, USA, with a workforce of 10001+ employees. Its website is http://www.workday.com.
Company H1B Sponsorship
• Workday has a track record of offering H1B sponsorships, with 331 in 2025, 388 in 2024, 262 in 2023, 503 in 2022, 290 in 2021, 229 in 2020. Please note that this does not guarantee sponsorship for this specific role.
