We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. We’re in this together, tackling big challenges with bold ideas and genuine care.

Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

It's fun to work in a company where people truly believe in what they're doing. At Workday, we're committed to bringing passion and customer focus to the business of enterprise applications. Would you like to be part of an innovative, agile force architecting intelligent agents that will revolutionize our customers' workday?

Join the AI Agent Engineering team, where we're pioneering cutting-edge HR & Finance AI Agents that deeply integrate within the Workday suite. Be part of an innovative, agile force architecting intelligent agents that will revolutionize our customers' workday. We are seeking highly skilled Machine Learning Engineers to contribute to a cross-functional team building transformative AI agents for HR & Finance.

This role is crucial in implementing tooling strategies, staying informed about industry trends, and ensuring our AI-driven solutions integrate effectively within the Workday stack. You will be responsible for implementing AI frameworks, contributing to agent workflow orchestration, utilizing LLMs, agent frameworks, and enterprise AI to design and develop scalable, reliable and trusted AI agents for both HR and Finance. Collaborate with a team of innovative engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making.

Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams Apply understanding of the AI system lifecycle, including problem definition, data acquisition, model training, system integration, and validation. Implement and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance. Stay up to date with advancements in AI, LLMs, RAG,



autonomous agents and orchestration frameworks to drive innovation.

Work with product, engineering, and data science teams to implement AI-based automation solutions that enhance HR and financial operations. Collaborate with external AI vendors, cloud providers, and open-source communities to integrate best-in-class technologies into our AI stack. Contribute to establishing monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time. 3+ years experience as a member of a data science, machine learning / AI 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 ~2+ years of professional experience with Python, Java, C++, etc. and supporting numeric libraries, with experience in shipping production code and models ~1+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow, Huggingface ~1+ years of professional experience in building services to host machine learning models in production at scale with cloud computing platforms (e.g.

AWS, GCP, etc.) ~1+ years of professional experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases ~ Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; Workday Pay Transparency Statement Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants.



For more information regarding Workday’s comprehensive benefits, please click here .

VancouverPrimary CAN Base Pay Range: $100,000 - $150,000 CADAdditional CAN Location(s) Base Pay Range: $100,000 - $150,000 CAD Our Approach to Adaptable Work With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role).

This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. If you require a reasonable accommodation, you may email [email protected] so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates’ privacy and data security.

Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday. #

📌 Sr Associate Machine Learning Engineer (Vancouver)
🏢 HR Tech Job
📍 Vancouver