Principal Machine Learning Engineer, Workday
Data Pipelines and Analytics Architect
CA$173.3-259.9k
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
CA$173.3-259.9k
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- Bachelor’s (graduate level is a plus) degree in engineering, computer science, physics, math or equivalent
- Proven experience teaching, mentoring and leading through influence
- 7 of more years of experience delivering applied machine learning products, including taking a product through design, implementation, and to production
- 5 or more years of experience with Python (including NumPy, SciPy, Pandas, pySpark) and Linux
- Experience conducting A/B testing
- Experience with telling stories through data visualization
- Experience scaling data processing for large data sets
- Resilience to obstacles, and ability to solve problems independently
- Experience building standard processes for software development, such as DevOps, MLOps, CI & CD
- Product 1st mentality needed
- You should enjoy constant learning and capable of dealing with setbacks in a positive way, especially when your ideas get invalidated
- You should have a burning desire getting to a clear answer to the “Why?” question for each of the projects
- You should be willing to contribute to all layers of the ML feature development, all the way from data acquisition and clean up, model training to UX/UI flows
- In short, if you enjoy working in a startup-like environment, then this opportunity is for you
- You have to be able to get to the bottom of challenges, no matter what those challenges are
- The challenges we face include, scalability and performance, features metrics, business hypothesis testing and analytical insights
What the job involves
- We are working on a new scalable recommendation service and data processing pipelines and looking for a person with experience in delivering Machine Learning products end to end
- As a technical leader on the team you will be encouraged to implement based practices in MLOps, design and implement ETL pipelines, recommendation services, experiments to improve services, algorithms and models
- You will mentor junior engineers in all aspects of the Machine Learning Engineering domain
- Define and implement best practices for MLOps on the team
- Contribute to the team’s roadmap in features development, data acquisition and processing, metrics, experimentation, data science
- Guide Product Managers on their journey of adding ML capabilities to their applications
- Be responsible for the performance, scale and ongoing improvements the systems the team owns
- Provide and receive PR feedback that helps you and your colleagues improve their practice and learn from each other
- Independently identify ML opportunities and propose solutions to leadership
- Own design documents for new ML components and enhancements to existing components
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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