Senior Machine Learning Engineer, Workday

CA$148-222k

Salary shown is applicable for Toronto based applicants only. For US based applicants the salary is $159,600 USD - $276,000 USD

AWS

Docker

GCP

Python

PyTorch

Senior and Expert level

Denver

Toronto

Vancouver

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

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Job no longer available

CA$148-222k

Salary shown is applicable for Toronto based applicants only. For US based applicants the salary is $159,600 USD - $276,000 USD

AWS

Docker

GCP

Python

PyTorch

Senior and Expert level

Denver

Toronto

Vancouver

More information about location

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Company mission

To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.

Job

Company

Role

Who you are

We’re looking for highly creative, results-focused, and deeply skilled machine learning engineers/scientists to work with us on a variety of challenges in the Human Capital Management space
Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or Engineering
6+ years experience working on a data science, machine learning or related software development team
6+ years experience in Python and supporting numeric libraries, with experience in shipping production code and models
4+ years experience in machine learning and deep learning frameworks & toolkits such as Pytorch and Sklearn
PhD or MS degree in a relevant field, such as Computer Science, Mathematics, or Engineering. Publications in machine learning research are helpful
Practical experience with generative models, large language models (LLM), transformer neural networks, search, recommendation systems, and graph neural networks
Experience with cloud computing platforms (e.g. AWS, GCP), containerization technologies (e.g. Docker) and data engineering pipelines (e.g. ETL)
Experience developing and deploying machine learning solutions using large-scale datasets, including specification design, data collection and labeling, model development, validation, deployment, and ongoing monitoring
An ability to balance mission-criticality with delivering high-quality, practical solutions. Validated perseverance in overcoming meaningful problems

What the job involves

As a Senior Machine Learning Engineer, you will research, develop and build impactful and scalable personalized recommendation systems and generative AI applications within the Human Capital Management space
You will work closely with other ML engineers, software developers and product teams to deliver ML solutions that enable personalized user experiences across Workday’s product ecosystem
You will lead projects handling everything from specification design, data collection and labeling pipelines, to model and API development, validation, deployment, and ongoing monitoring. You will use Workday’s rich datasets to deliver value that transforms the way our customers make decisions and run their business
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 users. If this sounds like a great opportunity, we'd love to hear from you

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

Top investors

16% employee growth in 12 months

Glassdoor (4.2)

Trustpilot (1.1)

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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