Principal Machine Learning Software Development Engineer, Workday

$179.2-268.8k

Salary may vary if applying in Canada

React
AWS
Docker
Kubernetes
GCP
Python
Azure
REST API
Senior and Expert level
Denver
Toronto
Vancouver
Workday

Enterprise management cloud platform

Job no longer available

Workday

Enterprise management cloud platform

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Job no longer available

$179.2-268.8k

Salary may vary if applying in Canada

React
AWS
Docker
Kubernetes
GCP
Python
Azure
REST API
Senior and Expert level
Denver
Toronto
Vancouver

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Company mission

To provide an all-in-one management cloud solution for the rapidly changing business requirements of the modern world.

Role

Who you are

  • 8 or more years of experience with production-level Software Development
  • 4 or more years of experience in Python
  • 4 or more years of experience building scalable ETL pipelines
  • 4 or more years of experience deploying production services to cloud platforms (e.g., AWS, Azure, GCP) and using containerization technologies (e.g., Docker, Kubernetes)
  • Experience with full stack engineering, including front-end frameworks (e.g. React), database technologies, and API development
  • Strong understanding of scalable architecture and performance optimization for web applications
  • Algorithmic Thinking and a proven track record of designing, implementing, and analyzing algorithms
  • Proven experience building flexible and reusable software components
  • Experience developing Code Testing strategies with an emphasis on understanding various testing methodologies
  • Strong sense of ownership and delivery of finished products. A balance between craftsmanship and the need to ship products to customers
  • Excellent communication and collaboration skills, with a strong focus on Team Collaboration and customer impact

What the job involves

  • In this software engineering role, you will work with machine learning engineers to build, test, and deploy agentic solutions. You will be part of a fast-paced team with a startup-like mentality. In the early stages of the project you will rapidly iterate on prototypes and proof-of-concepts, and in the later stages you will build robust, scalable solutions
  • Lead technical initiatives from conception to production
  • Build and deploy Python and Spark-based ETL pipelines for collecting, joining, transforming, and loading data used for model training and inference
  • Build and deploy secure, restful web services in Python and Kubernetes that activate agents and invoke actions
  • Design and implement a multi-tenant runtime architecture that enables fast inference, scales to millions of users, and integrates with existing Workday components
  • Build React-based interactive prototypes/demos for showcasing and evaluating the agents
  • Collaborate with multi-functional teams, including MLEs, product managers, and UX designers
  • Take ownership for finding creative solutions that move projects forward
  • Write clean, maintainable, and testable code following standard methodologies in software engineering, including automation, observability, and scalability
  • Conduct code reviews, participate in design discussions, and engage in collaborative team activities like hackathons and knowledge-sharing sessions

Application process

  • Posting End Date: 04/6/2025

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Insights

Top investors

16% employee growth in 12 months

Company

Company benefits

  • Company equity
  • Vision and dental insurance
  • Work from home opportunities
  • Health insurance
  • Virtual primary care
  • Flexible time-off policy
  • Global mental health resources
  • Global dedicated on-site clinical counselors
  • Global well-being days
  • $25k fertility/family planning benefits
  • North Star financial wellness
  • Retirement funds and matching
  • 401k plan 🇺🇸
  • On-site health clinic (Pleasanton office) 🇺🇸

Funding (last 2 of 5 rounds)

Oct 2011

$85m

SERIES F

Apr 2009

$75m

SERIES E

Total funding: $215.3m

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.

Workday has acquired and paired up with many other companies to keep expanding its offering. In 2021, it purchased the employee feedback platform Peakon in response to the growing need for managers to be able to survey workers and collect satisfaction data without face-to-face meetings. The company has also bought and developed many financial tools and HR management tools.

The company’s goal is to provide end-to-end back office services and while there are other providers, such as UKG Pro and Ceridian HCM, Workday’s broad offering helps them to stand out. Though it faced a tough global market in 2023 and has shed some of its headcount, Workday has seen a 6.5% gain in value in the first quarter of 2024. It is now focusing on growth and developing the AI capabilities of its platform. .

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Kirsty

Company Specialist at Welcome to the Jungle