Principal Machine Learning Engineer, Workday
GenAI
$200.6-301k
Office located in Boulder, CO
Enterprise AI platform for managing HR and finance
Open for applications
Enterprise AI platform for managing HR and finance
1001+ employees
Open for applications
$200.6-301k
Office located in Boulder, CO
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 10+ years experience working on a data science, machine learning or related software development team
- 8+ years experience with Python supporting numeric libraries, with experience in shipping secure, production code and models
- 8+ years of experience object oriented programming in Java
- 2+ years experience in machine learning or deep learning frameworks or AI agent frameworks
- Other Qualifications:
- Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or Engineering
- PhD or MS degree in a relevant field, such as Computer Science, Mathematics, or Engineering. Publications in machine learning research are highly desirable
- Extensive experience with generative models, large language models (LLM), retrieval augmented generation (RAG) systems, transformer neural networks, and related frameworks
- Experience with cloud computing platforms (e.g. AWS, GCP), containerization technologies (e.g. Docker) and data engineering pipelines (e.g. ETL)
- Experience developing and deploying machine learning solutions using large-scale datasets, including specification design, data collection and labeling, model development, validation, deployment, and ongoing monitoring
- An ability to balance speed with delivering high-quality, practical solutions. Shown perseverance in overcoming significant problems
What the job involves
- Are you driven to apply innovative AI to real-world enterprise challenges? As an AI/ML Engineer on the Workday Adaptive Planning team, you’ll help redefine how financial planning is done at scale—by designing and building intelligent, agentic workflows that power the next generation of FP&A solutions
- You’ll be at the forefront of bringing "AI-first" thinking into production, developing enterprise level intelligent systems that automate, adapt, and assist users throughout the financial planning journey. Your work will directly impact thousands of global enterprises and millions of end users
- Technical leadership: lead design and development of sophisticated AI agents that reason, learn, and interact across complex business processes to enhance productivity and decision-making. Excellent written and verbal communication skills
- Integrate AI Frameworks: Embed secure, scalable, and reliable agentic capabilities into core Adaptive Planning features—driving smart automation for FP&A users
- Partner Cross-Functionally: Collaborate with extraordinary engineers and product managers to bring ideas to life—from concept to customer impact
- Own Projects End-to-End: Lead the full AI development lifecycle—problem framing, data prep, model training, deployment, evaluation, and continuous improvement
- Leverage Rich Planning Data: Harness Workday Adaptive Planning’s vast enterprise datasets to tune and optimize your AI models for high-value outcomes
- Mentorship: Provide technical guidance to other engineers. Conduct critical code reviews and unblock the team on deep technical hurdles
- We’re looking for bold thinkers with strong technical chops and a product mindset. You’ll need to move fast, think big, and stay grounded in solving real customer problems through AI. If this sounds like your kind of challenge, we’d love to talk
Application process
- End Date: March 27, 2026
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities.. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, WOrkday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & Executive Chair)Annel began his career at Morgan Stanley as a Corporate Finance Analyst. He then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005, where he has served as the CEO ever since.
Carl Eschenbach
(CEO)Carl joined Workday in 2022 as Co-CEO, becoming CEO in 2024. He has also been a Partner at Sequoia Capital since 2016. Previously, he spent 14 years at VMware as President and COO and 3 years at Inktomi Corporation as the VP of North America Sales.
Peter Bailis
(CTO)Prior to joining Workday in 2025, People was a VP of Engineering at Google. He also previously founded Sisu Data, where he served as the CEO for over 5 years.
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