Senior Principal Machine Learning Engineer, Workday
$226.5-402k
Salary range is dependent on location
More information about location
Enterprise AI platform for managing HR and finance
Job no longer available
Enterprise AI platform for managing HR and finance
1001+ employees
Job no longer available
$226.5-402k
Salary range is dependent on location
More information about location
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- If you are a passionate and experienced ML leader eager to shape the future of AI at Workday, we'd love to hear from you
- Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or Engineering
- 12+ years experience working on a data science, machine learning or related software development team
- 12+ years experience in Python and supporting numeric libraries, with experience in shipping production code and models
- 10+ years experience in machine learning and deep learning frameworks & toolkits such as Pytorch and Sklearn
Desirable
- PhD or MS degree in a relevant field, such as Computer Science, Mathematics, or Engineering. Publications in machine learning research are helpful
- Practical experience with generative models, large language models (LLM), retrieval augmented generation (RAG) systems, transformer neural networks
- 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 a sense of urgency with delivering high-quality, practical solutions. Proven perseverance in overcoming challenging problems
What the job involves
- As a Senior Principal ML Engineer, you will be a key technical leader and visionary, driving the development and application of machine learning across Workday's product ecosystem. This includes:
- Architecting advanced ML solutions: You will guide the creation and implementation of sophisticated machine learning systems, from models and algorithms to infrastructure, to address complex business challenges and enhance our products
- Mentoring and guiding engineers: You will provide technical leadership and mentorship to a team of hard-working ML engineers, fostering a culture of innovation and teamwork
- Collaborating with product and engineering: You'll partner with product managers and engineering teams to define product roadmaps and ensure successful integration of AI solutions
- Staying ahead of the curve: You will keep yourself informed of the latest advancements in machine learning and AI research, identifying and evaluating new technologies for potential adoption
- We will challenge you to apply your deep expertise, critical thinking, and leadership skills to make a significant impact on thousands of enterprises and millions of users
Application process
- Posting End Date: 02/21/2025
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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