Machine Learning Engineer, Workday
CA$128-192k
Enterprise AI platform for managing HR, finance & IT
Posted today
Enterprise AI platform for managing HR, finance & IT
1001+ employees
Posted today
CA$128-192k
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
- 5+ years of professional experience with Python and supporting numeric libraries, with experience in shipping production code and models
- 5+ years of professional experience with cloud computing platforms (e.g. AWS, GCP, etc.)
- Bachelor’s (Master’s or PhD preferred) degree in engineering, data/computer science, physics, math or equivalent
- 5+ years of professional experience in building information retrieval systems
- 5+ years of professional experience building scalable, production-level ML services on platforms such as Kubernetes
- 5+ years of professional experience in ML and deep learning frameworks & toolkits, such as scikit-learn, Pandas, PySpark, Pytorch, TensorFlow
- 3+ years of professional experience in developing with LLMs, RAG, and AI agents
- Strong understanding of statistical analysis, ML paradigms and algorithms, and natural language processing, with a focus for information retrieval and/or recommendation system use cases
- Professional experience in independently solving ambiguous, open-ended problems and technically leading a team
What the job involves
- As a ML Engineer on the FIN Hyperautomation AI team, you will develop intelligent user experiences powered by advanced tools like (but not limited to) generative AI.
- You will work with other engineers to deliver ML solutions across Workday’s ML infrastructure, from training ML models to developing APIs, as well as managing the lifecycle of such products and services.
- You will be backed by Workday’s vast computing resources and rich datasets, to deliver transformative value to our customers
- Own exploration, design, implementation, and deployment of features
- The evaluation, scalability, and observability of these features
- Apply ML techniques, including LLMs and natural language understanding, to intelligently process business documents and, for example, automate critical customer workflows
- Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation
- Serve as a technical role model for more junior engineers
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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