Principal Machine Learning Engineer, Workday
CA$173.6-260.4k
More information about location
Enterprise AI platform for managing HR, finance & IT
Job no longer available
Enterprise AI platform for managing HR, finance & IT
1001+ employees
Job no longer available
CA$173.6-260.4k
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
- You love working on sophisticated technical projects
- You are an authority with modern ML/AI technologies
- You are able to own the end to end ML/AI workflow from data prep, model training, ML Ops, etc
- You are a phenomenal teammate who enjoys collaborating with others to build rich end-to-end experiences
- You are performance-minded with a strong understanding of backend and service development standard methodologies
- You are passionate about code quality and like to share development standard processes
- You love learning and want to grow in your engineering career
- We're open to hiring a Senior- or Principal-level engineer for this team:
- Basic Qualifications Principal, Machine Learning Engineer
- 10+ years of ML engineering experience
- 5+ years of experience as a Data Scientist or equivalent role
- 5+ years of experience designing and maintaining ML systems with clean architecture
- Basic Qualifications Senior Machine Learning Engineer
- 7+ years of experience as an ML engineer
- 2+ years experience as Data Scientist or equivalent role
- 2+ years leading technical & functional discussions
- Master’s degree or above in Computer Science, Statistics, Mathematics or related field
- Experience working with multi-functional teams & leading substantial ML/AI features with a strong focus on non-functional requirements (accuracy, scalability, performance, monitoring, maintenance, security, etc.)
- Validated understanding of Statistics, Machine Learning, Deep Learning and LLM technologies
- Extensive knowledge and experience in building and evaluating ML models
- Superb interpersonal skills with ability to articulate sophisticated technical ideas
- Experience with common frameworks such as numpy, pandas, sklearn, tensorflow, pytorch, langchain etc
What the job involves
- The team develops Workday Prism Analytics which is a high performance data analytics platform to enable modeling, analyzing, and visualizing substantial datasets, from Data Acquisition all the way through Dataset Publishing and Data Visualization
- As a Machine Learning Engineer, you play a key role in the continued success of our products and experiences. You will partner with product managers, designers, architects and engineers to build ML/AI capabilities within Prism platform
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 & CEO)Annel began their career at Morgan Stanley as a Corporate Finance Analyst. They then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005.
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