Machine Learning Engineer, Workday
Machine Learning Operations
CA$120-180k
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$120-180k
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 have a willingness to explore the unknown, be a technological pioneer and have passion around improving customer experiences then we want to hear from you!
- 3+ years understanding of Python in both production and ETL settings
- 2+ years of building Data or MLOps pipelines using Python, Airflow, Databricks, or other similar cloud native services
- 2+ years experience on AWS, Vertex AI, and Kubernetes
- 2+ years experience in operationalization of Data Science projects using at least one of the popular frameworks or platforms (e.g. Airflow, Kubeflow, AWS Sagemaker, Google AI Platform,
- 1+ years experience building both data / ETL pipelines as well as model training infrastructure, and working with GPUs
- 1+ years Experience managing and supporting Docker, Kubernetes, Spark, CI/CD, Git-Ops
- 1+ years Experience with data versioning, ML model management, lifecycle, and reproducibility
- Experience with ML frameworks such as PyTorch, Keras, Transformers, SKLearn
- Experience with fine-tuning NLP models and with HuggingFace
- Experience with AWS services especially EKS
- 1+ years with MLOps tools like TFX, MLFlow, Kubeflow, Apache Spark, etc
- B.S. in a relevant field - (E.g. Computer Science, Mathematics, Engineering). M.S. or Ph.D are nice, but not required
- Highly self-motivated, always looking to take on work and get great pleasure from delivering production scale machine learning solutions to customers
- A collaborative teammate who uses positive leadership to coordinate and deliver results across teams
- A fast learner, detail oriented, decisive, and enjoys a fast-paced work environment
- Flexible, reliable, outgoing and has a positive work attitude
What the job involves
- Come join the Workday Assistant team! We are part of the Employee Experience organization that enables employers to better engage and support their people while making work more personal and productive
- Workday is looking for hardworking Machine Learning Operations engineer to contribute to the strategic mission of reaching workers where they are at
- You will join an energetic, open minded and supportive group of engineers to redefine how workers engage with Enterprise applications
- Implement MLOps tools, frameworks, and platforms to support ML development, deployment, and governance
- Create a repeatable and reusable ML workflow for model training, evaluation, deployment, and maintenance
- Improve tracking and monitoring of models, experiments, artifacts, and data
- Engage with data engineers and data scientists in feature engineering efforts
- Diagnose and resolve ML workflow and production issues quickly
- We will challenge you to apply your best creative thinking, analysis, problem-solving, and technical abilities to make an impact on thousands of enterprises and millions of people
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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