Workday
Principal/Senior Machine Learning Engineer
Join to apply for the Principal/Senior Machine Learning Engineer role at Workday. About The Team It's fun to work in a company where people truly believe in what they're doing. At Workday, we’re committed to bringing passion and customer focus to the business of enterprise applications. We work hard, and we’re serious about what we do, but we also like to have a good time. One of our core values is fun, and we strive to maintain an employee-centric, collaborative culture that supports happiness, development, and contribution for every Workmate. We look after our people, communities, and the planet while remaining profitable. About The Role We are seeking highly skilled Machine Learning Engineers to contribute to a cross-functional team building transformative AI agents for HR & Finance. This role involves implementing tooling strategies, staying informed about industry trends, and ensuring our AI-driven solutions integrate within the Workday stack. You will design and develop scalable, reliable, and trusted AI agents for HR and Finance using AI frameworks, agent workflows, LLMs, and enterprise AI. Key Responsibilities Collaborate with a team of engineers to deliver AI-powered agents that integrate into HR and Financial workflows, accelerating intelligent decision making. Develop relationships with software engineers, ML engineers, and data scientists on partner teams. Apply understanding of the AI system lifecycle (problem definition, data acquisition, model training, system integration, validation). Implement and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance. Stay up to date with advancements in AI, LLMs, RAG, autonomous agents, and orchestration frameworks to drive innovation. Work with product, engineering, and data science teams to implement AI-based automation solutions for HR and financial operations. Collaborate with external AI vendors, cloud providers, and open-source communities to integrate best-in-class technologies into the AI stack. Contribute to monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time. About You Principal Machine Learning Engineer — Basic Qualifications 10+ years of experience in data science, ML engineering, or related software development teams building applied ML products at scale, including production-grade lifecycle from research to deployment. 4+ years of professional experience with ML/DL frameworks (e.g., PyTorch, TensorFlow). 6+ years of professional experience building services to host ML models in production at scale. 3+ years of experience with large language models (LLMs), text generation models, and/or graph neural networks for real-world use cases. 6+ years of experience with cloud platforms (e.g., AWS, GCP). Proven track record of leading, mentoring, and/or managing ML Engineering teams with ownership of development lifecycles and sprint planning. Bachelor’s degree (Master’s or PhD preferred) in engineering, computer science, physics, math, or equivalent. Senior Machine Learning Engineer — Basic Qualifications 5+ years of experience in ML engineering or related software teams building applied ML products at scale, including production rollout. 5+ years of professional experience with Python and numeric libraries, shipping production code and models. 3+ years of experience with ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face). 3+ years of experience building services to host ML models in production at scale with cloud platforms (e.g., AWS, GCP). 3+ years of experience with LLMs, text generation models, and/or graph neural networks for real-world use cases. Bachelor’s degree (Master’s or PhD preferred) in engineering, computer science, physics, math, or equivalent. Other Qualifications Stays up to date with advancements in AI, LLMs, RAG, autonomous agents, and orchestration frameworks. Strong understanding of statistical analysis, ML algorithms, and NLP for information retrieval and/or recommendation systems. Experience solving ambiguous problems and technically leading teams. Excellent interpersonal and communication skills with the ability to build relationships across teams. Proven track record of leading ML Engineering teams and fostering collaboration, transparency, and continuous improvement. Workday Pay Transparency Statement The annualized base salary ranges for the primary location and additional locations vary by location. This role may be eligible for bonuses or stock grants as part of total compensation. Compensation offers are based on geography, experience, skills, duties, and business need. Primary Location: CAN.BC.Vancouver. Primary Location Base Pay Range: $122,400 CAD - $183,600 CAD. Additional US Location(s) Base Pay Range: $167,200 USD - $297,600 USD. Colorado location adjustments may apply. The application deadline is stated on the posting: 09/15/2025. Our Approach to Flexible Work With Flex Work, we combine in-person time with remote work. We support a flexible schedule and require spending at least half (50%) of time each quarter in the office or with customers, depending on role. Remote roles may still engage in in-office moments when needed. Pursuant to applicable Fair Chance law, Workday will consider qualified applicants with arrest and conviction records. Workday is an Equal Opportunity Employer, including individuals with disabilities and protected veterans. Seniority level
Not Applicable Employment type
Full-time Job function
Engineering and Information Technology Industries
Software Development Referrals increase your chances of interviewing at Workday. Get notified about new Machine Learning Engineer jobs in Boulder, CO.
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Join to apply for the Principal/Senior Machine Learning Engineer role at Workday. About The Team It's fun to work in a company where people truly believe in what they're doing. At Workday, we’re committed to bringing passion and customer focus to the business of enterprise applications. We work hard, and we’re serious about what we do, but we also like to have a good time. One of our core values is fun, and we strive to maintain an employee-centric, collaborative culture that supports happiness, development, and contribution for every Workmate. We look after our people, communities, and the planet while remaining profitable. About The Role We are seeking highly skilled Machine Learning Engineers to contribute to a cross-functional team building transformative AI agents for HR & Finance. This role involves implementing tooling strategies, staying informed about industry trends, and ensuring our AI-driven solutions integrate within the Workday stack. You will design and develop scalable, reliable, and trusted AI agents for HR and Finance using AI frameworks, agent workflows, LLMs, and enterprise AI. Key Responsibilities Collaborate with a team of engineers to deliver AI-powered agents that integrate into HR and Financial workflows, accelerating intelligent decision making. Develop relationships with software engineers, ML engineers, and data scientists on partner teams. Apply understanding of the AI system lifecycle (problem definition, data acquisition, model training, system integration, validation). Implement and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance. Stay up to date with advancements in AI, LLMs, RAG, autonomous agents, and orchestration frameworks to drive innovation. Work with product, engineering, and data science teams to implement AI-based automation solutions for HR and financial operations. Collaborate with external AI vendors, cloud providers, and open-source communities to integrate best-in-class technologies into the AI stack. Contribute to monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time. About You Principal Machine Learning Engineer — Basic Qualifications 10+ years of experience in data science, ML engineering, or related software development teams building applied ML products at scale, including production-grade lifecycle from research to deployment. 4+ years of professional experience with ML/DL frameworks (e.g., PyTorch, TensorFlow). 6+ years of professional experience building services to host ML models in production at scale. 3+ years of experience with large language models (LLMs), text generation models, and/or graph neural networks for real-world use cases. 6+ years of experience with cloud platforms (e.g., AWS, GCP). Proven track record of leading, mentoring, and/or managing ML Engineering teams with ownership of development lifecycles and sprint planning. Bachelor’s degree (Master’s or PhD preferred) in engineering, computer science, physics, math, or equivalent. Senior Machine Learning Engineer — Basic Qualifications 5+ years of experience in ML engineering or related software teams building applied ML products at scale, including production rollout. 5+ years of professional experience with Python and numeric libraries, shipping production code and models. 3+ years of experience with ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face). 3+ years of experience building services to host ML models in production at scale with cloud platforms (e.g., AWS, GCP). 3+ years of experience with LLMs, text generation models, and/or graph neural networks for real-world use cases. Bachelor’s degree (Master’s or PhD preferred) in engineering, computer science, physics, math, or equivalent. Other Qualifications Stays up to date with advancements in AI, LLMs, RAG, autonomous agents, and orchestration frameworks. Strong understanding of statistical analysis, ML algorithms, and NLP for information retrieval and/or recommendation systems. Experience solving ambiguous problems and technically leading teams. Excellent interpersonal and communication skills with the ability to build relationships across teams. Proven track record of leading ML Engineering teams and fostering collaboration, transparency, and continuous improvement. Workday Pay Transparency Statement The annualized base salary ranges for the primary location and additional locations vary by location. This role may be eligible for bonuses or stock grants as part of total compensation. Compensation offers are based on geography, experience, skills, duties, and business need. Primary Location: CAN.BC.Vancouver. Primary Location Base Pay Range: $122,400 CAD - $183,600 CAD. Additional US Location(s) Base Pay Range: $167,200 USD - $297,600 USD. Colorado location adjustments may apply. The application deadline is stated on the posting: 09/15/2025. Our Approach to Flexible Work With Flex Work, we combine in-person time with remote work. We support a flexible schedule and require spending at least half (50%) of time each quarter in the office or with customers, depending on role. Remote roles may still engage in in-office moments when needed. Pursuant to applicable Fair Chance law, Workday will consider qualified applicants with arrest and conviction records. Workday is an Equal Opportunity Employer, including individuals with disabilities and protected veterans. Seniority level
Not Applicable Employment type
Full-time Job function
Engineering and Information Technology Industries
Software Development Referrals increase your chances of interviewing at Workday. Get notified about new Machine Learning Engineer jobs in Boulder, CO.
#J-18808-Ljbffr