Software Development Engineer, Workday
Machine Learning
CA$106.4-159.6k
+ Annual refresh stock grants
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
CA$106.4-159.6k
+ Annual refresh stock grants
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
- In addition to contributing to feature and service development, you must have an approach of continuous improvement and passion for quality, scale, and security
- You must be curious and prepared to question or challenge choices and practices where they don't make sense to you or could be improved
- You also should have a product-focused approach and strong intuition around how ML can drive a better customer experience
- Lastly, a strong sense of ownership and teamwork are critical to succeed in this role
- Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math, or equivalent
- 3 or more years of experience with Python and one or more web-application frameworks (e.g. FastAPI, Flask, Django), with experience in shipping web applications in production environments
- 3 or more years of professional experience building scalable systems and optimizing performance of large-scale web services
- 2 or more years of professional experience building ETL pipelines and data wrangling using industry-standard tools like Pandas, PySpark, and SageMaker to build scalable data pipelines
- 2 or more years of professional experience building horizontally scalable, RESTful web applications
- 2 or more years of professional experience scaling services with containerization technologies like Kubernetes and Docker
- 2 or more years of professional experience with cloud computing platforms (e.g. AWS, GCP, etc.)
- Professional experience with CI/CD patterns and technologies (e.g. Jenkins)
- Experience with distributed computing (e.g. Spark, MapReduce) and ETL pipelines in production environments
- Takes ownership and delivers complete products, balancing craftsmanship with the need to ship to customers
- Professional experience in building information retrieval systems and/or recommendation systems
- Professional experience in machine learning and deep learning frameworks and toolkits such as PyTorch, TensorFlow, and Sklearn
- Professional experience with Python and supporting numeric libraries, with experience in shipping production code and models
- Experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
- Professional experience in independently solving ambiguous, open-ended problems
- Ability to design and implement creative workarounds for unforeseen obstacles
- Standout colleague, strong communication skills, with experience working across functions and teams
- Ability to teach, mentor, and lead through influence
What the job involves
- This is a great opportunity to join the Machine Learning organization at Workday! Our AI platforms power all core Workday products, serving 70 million users under contract and generating more than 800 billion transactions per year
- Our multi-functional team works on building next generation ML solutions for a wide array of problems using the world’s largest and cleanest HR and Finance dataset
- Our team flourishes with collaboration, inclusivity, and innovation. We are looking for individuals who are curious, agile and meticulous. Join us as we transform the way millions of people work!
- As a Software Development Engineer, you will be building platforms and services that leverage machine learning to modernize and simplify how users interact with Workday
- You will work on interesting projects including information retrieval, recommendations, and Agentic services
- As a Software Engineer, you will also be closely working with Machine Learning Engineers to deliver ML features across Workday’s product ecosystem and use software and data engineering stacks to enable training, deployment, and lifecycle management of various ML models
- You will be responsible for the design, implementation, productionization and observability of any features you work on. Additionally, you will develop and deploy new APIs/microservices using Docker/Kubernetes at scale and leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers
- Build, deploy, tune, and optimize Python and Spark-based ETL pipelines for collecting, joining, transforming, and loading data used for model training and inference
- Build, deploy, monitor, and maintain secure, RESTful web services in Python and Kubernetes that power our agents and recommendations
- Design and implement multi-tenant runtime architectures that enable fast inference, scale to millions of users, and integrate with existing Workday components
- Understand and address complex system design challenges related to microservices, including caching, sharding, observability, and event-based architecture
- Work effectively with teammates on code reviews, knowledge shares, hackathons, etc
- Collaborate with other platform teams to improve shared infrastructure and components
- Triage and address alerts and production issues as part of an on-call rotation
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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