Machine Learning Engineer

Your work days are brighter here.

Were 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 were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll feel it. Not just in the products we build but in how we show up for each other. Our culture is rooted in integrity empathy and shared enthusiasm. Were in this together tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well 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 youve found a match in Workday and we hope to be a match for you too.

About the Team

Do you want to be part of the team which is reinventing Enterprise Financials for the agentic age The Financials Hyper Automation AI team is a small advanced team of ML engineers charged with re-envisioning and building the next generation of ERP Financial and Accounting systems. We have an entrepreneurial mindset with a focus on creating delightful intelligent experiences leveraging the state-of-the-art in AI as well as strong proven techniques from conventional machine learning. Working closely with product managers we build advanced prototypes as well as deploy full production-grade features to solve our customers most pressing business challenges. Our current areas of development include strong reasoning agents for complex financial workflows and agentic self-improvement.

About the Role

As a ML Engineer on the FIN Hyperautomation AI team you will develop intelligent user experiences powered by advanced tools like (but not limited to) generative AI. You will work with other engineers to deliver ML solutions across Workdays ML infrastructure from training ML models to developing APIs as well as managing the lifecycle of such products and services. You will be backed by Workdays vast computing resources and rich datasets to deliver transformative value to our customers.

Your specific responsibilities include:

• Own exploration design implementation and deployment of features.

• The evaluation scalability and observability of these features.

• Apply ML techniques including LLMs and natural language understanding to intelligently process business documents and for example automate critical customer workflows.

• Stay up to date with advancements in AI LLMs RAG autonomous agents and orchestration frameworks to drive innovation.

• Serve as a technical role model for more junior engineers

Sound like your kind of challenge

About You

Basic Qualifications:

• 5 years experience as a member of a data science machine learning 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.

• 5 years of professional experience with Python and supporting numeric libraries with experience in shipping production code and models

• 5 years of professional experience with cloud computing platforms (e.g. AWS GCP etc.)

• Bachelors (Masters or PhD preferred) degree in engineering data/computer science physics math or equivalent.

Other Qualifications:

• 5 years of professional experience in building information retrieval systems

• 5 years of professional experience building scalable production-level ML services on platforms such as Kubernetes.

• 5 years of professional experience in ML and deep learning frameworks & toolkits such as scikit-learn Pandas PySpark Pytorch TensorFlow.

• 3 years of professional experience in developing with LLMs RAG and AI agents.

• Strong understanding of statistical analysis ML paradigms and algorithms and natural language processing with a focus for information retrieval and/or recommendation system use cases.

• Professional experience in independently solving ambiguous open-ended problems and technically leading a team.

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. 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. Recruiters can share more detail during the hiring process. Each candidates compensation offer will be based on multiple factors including but not limited to geography experience skills job duties and business need among other things. For more information regarding Workdays comprehensive benefits please click here.

Primary Location:

Primary CAN Base Pay Range: $128000 - $192000 CAD

Additional CAN Location(s) Base Pay Range: $128000 - $192000 CAD

Our Approach to Flexible Work

With Flex Work were 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 youll 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. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action up to and including termination of employment to the fullest extent allowable under applicable law.

If you require a reasonable accommodation you may email as far in advance as possible.

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