Jobs via Dice
Join to apply for the
Sr Principal Machine Learning Engineer
role at
Jobs via Dice Dice is the leading career destination for tech experts at every stage of their careers. Our client, Workday, Inc., is seeking the following. Apply via Dice today! 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 like to have a good time, too. One of our core values is fun. Would you like to be part of an innovative, agile force architecting intelligent agents that will revolutionize our customers\' workday? Join the AI Agent Engineering team, where we're pioneering cutting-edge HR & Finance AI Agents that deeply integrate within the Workday suite. 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 is crucial in implementing tooling strategies, staying informed about industry trends, and ensuring our AI-driven solutions integrate effectively within the Workday stack. You will be responsible for implementing AI frameworks, contributing to agent workflow orchestration, utilizing LLMs, agent frameworks, and enterprise AI to design and develop scalable, reliable and trusted AI agents for both HR and Finance. Key Responsibilities
Collaborate with a team of innovative engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making. Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams. Apply understanding of the AI system lifecycle, including problem definition, data acquisition, model training, system integration, and 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 that enhance HR and financial operations. Collaborate with external AI vendors, cloud providers, and open-source communities to integrate best-in-class technologies into our AI stack. Contribute to establishing monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time. Required Qualifications
Senior/Principal level expertise with 15+ years experience in data science, ML engineering, or relevant software development building applied ML products at scale, including research, design, implementation, and production evaluation. 5+ years of professional experience in ML/DL frameworks and toolkits (e.g., PyTorch, TensorFlow). 7+ years of professional experience building services to host ML models in production at scale. 3+ years of demonstrated experience with large language models (LLMs), text generation models, and/or graph neural networks for real-world use cases. 7+ years of experience with cloud platforms (e.g., AWS, Google Cloud Platform). Proven track record of leading, mentoring, and/or managing ML Engineering teams and owning development lifecycles and sprint planning. Bachelor's degree (Master's or PhD preferred) in engineering, computer science, physics, math or equivalent. Other Qualifications
Stays current with AI advancements, LLMs, RAG, autonomous agents and orchestration frameworks. Strong understanding of statistical analysis, ML algorithms, and NLP for information retrieval or recommendation systems. Ability to solve ambiguous, open-ended problems and lead teams. Excellent interpersonal and communication skills to collaborate across teams and stakeholders. Workday Pay Transparency
The annual base salary ranges for the primary location and additional locations are listed below. Pay ranges vary by location and may include bonus plans and stock grants. Compensation offers are based on geography, experience, skills, duties, and business need. Primary Location: USA.CA.Pleasanton Primary Location Base Pay Range: $230,400 USD - $345,600 USD Additional US Location(s) Base Pay Range: $226,500 USD - $402,000 USD Colorado pay range (if applicable): $238,400 - $357,600 USD Application deadline: 09/07/2025 Flexible Work
With Flex Work, we combine in-person and remote work. We encourage spending at least 50% of time in the office or in the field with customers, prospects, and partners, depending on the role. Remote work is supported where feasible. 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. If you are being referred to a role, ask your Workday contact about the Employee Referral process. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development
#J-18808-Ljbffr
Sr Principal Machine Learning Engineer
role at
Jobs via Dice Dice is the leading career destination for tech experts at every stage of their careers. Our client, Workday, Inc., is seeking the following. Apply via Dice today! 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 like to have a good time, too. One of our core values is fun. Would you like to be part of an innovative, agile force architecting intelligent agents that will revolutionize our customers\' workday? Join the AI Agent Engineering team, where we're pioneering cutting-edge HR & Finance AI Agents that deeply integrate within the Workday suite. 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 is crucial in implementing tooling strategies, staying informed about industry trends, and ensuring our AI-driven solutions integrate effectively within the Workday stack. You will be responsible for implementing AI frameworks, contributing to agent workflow orchestration, utilizing LLMs, agent frameworks, and enterprise AI to design and develop scalable, reliable and trusted AI agents for both HR and Finance. Key Responsibilities
Collaborate with a team of innovative engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making. Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams. Apply understanding of the AI system lifecycle, including problem definition, data acquisition, model training, system integration, and 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 that enhance HR and financial operations. Collaborate with external AI vendors, cloud providers, and open-source communities to integrate best-in-class technologies into our AI stack. Contribute to establishing monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time. Required Qualifications
Senior/Principal level expertise with 15+ years experience in data science, ML engineering, or relevant software development building applied ML products at scale, including research, design, implementation, and production evaluation. 5+ years of professional experience in ML/DL frameworks and toolkits (e.g., PyTorch, TensorFlow). 7+ years of professional experience building services to host ML models in production at scale. 3+ years of demonstrated experience with large language models (LLMs), text generation models, and/or graph neural networks for real-world use cases. 7+ years of experience with cloud platforms (e.g., AWS, Google Cloud Platform). Proven track record of leading, mentoring, and/or managing ML Engineering teams and owning development lifecycles and sprint planning. Bachelor's degree (Master's or PhD preferred) in engineering, computer science, physics, math or equivalent. Other Qualifications
Stays current with AI advancements, LLMs, RAG, autonomous agents and orchestration frameworks. Strong understanding of statistical analysis, ML algorithms, and NLP for information retrieval or recommendation systems. Ability to solve ambiguous, open-ended problems and lead teams. Excellent interpersonal and communication skills to collaborate across teams and stakeholders. Workday Pay Transparency
The annual base salary ranges for the primary location and additional locations are listed below. Pay ranges vary by location and may include bonus plans and stock grants. Compensation offers are based on geography, experience, skills, duties, and business need. Primary Location: USA.CA.Pleasanton Primary Location Base Pay Range: $230,400 USD - $345,600 USD Additional US Location(s) Base Pay Range: $226,500 USD - $402,000 USD Colorado pay range (if applicable): $238,400 - $357,600 USD Application deadline: 09/07/2025 Flexible Work
With Flex Work, we combine in-person and remote work. We encourage spending at least 50% of time in the office or in the field with customers, prospects, and partners, depending on the role. Remote work is supported where feasible. 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. If you are being referred to a role, ask your Workday contact about the Employee Referral process. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development
#J-18808-Ljbffr