Senior Machine Learning Engineer

About The Team At Workday, we are building the intelligence layer that powers the future of work for millions of global users. Our AI organization is responsible for seamlessly embedding cutting‑edge machine learning, Generative AI, and autonomous agents directly into Workday’s core platform—optimizing the HR and financial operations of some of the world’s largest enterprises. We don’t just run sandbox experiments; we build robust, production‑grade AI solutions that solve real business challenges at global scale. As part of our team, you will operate at the intersection of deep applied research and scalable engineering. Whether we are developing sophisticated LLM‑powered agents, advancing our next‑generation AI engine (Workday Illuminate), or engineering highly precise information retrieval and recommendation systems, we leverage Workday’s massive, clean, and exclusive datasets to deliver features that accelerate human workflows.

About The Role What you will do:

Architect & build scalable machine learning models and AI systems (ranging from predictive models to Generative AI and LLM‑powered agents) that directly impact Workday’s core enterprise applications.

Take full ownership of the ML lifecycle, including data extraction, feature engineering, model training, deployment, optimisation, and continuous monitoring in a high‑scale production environment.

Partner closely with Data Scientists, Software Engineers, Product Managers, and UX Designers to translate complex business problems into robust AI solutions.

Establish and advocate for engineering best practices, robust MLOps processes, and highly optimised code.

Guide and mentor junior engineers, conduct code and architecture reviews, and help shape the technical roadmap for your team.

Ensure all models adhere to Workday’s strict standards for data privacy, security, fairness, and ethical AI practices.

About You Basic Qualifications

7+ years of industry experience in software engineering with a strong focus on applied machine learning, deep learning, or NLP.

Expert‑level proficiency in Python and strong software engineering fundamentals (data structures, algorithms, object‑oriented design).

Deep, hands‑on experience with industry‑standard machine learning and deep learning libraries (e.g., PyTorch, TensorFlow, Scikit‑learn, Hugging Face).

Proven track record of taking ML models out of research/notebook environments and deploying them into scalable, high‑traffic production systems.

Solid experience with cloud computing platforms (AWS or GCP) and modern infrastructure tools (Docker, Kubernetes).

Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related highly quantitative field (or equivalent practical experience).

Pay and Compensation 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. The primary location: CAN.ON.Toronto. Primary CAN Base Pay Range: $156,000 - $234,000 CAD. Additional CAN Location(s) Base Pay Range: $156,000 - $234,000 CAD.

Flexible 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.

Equal Opportunity Employer Statement 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.

#J-18808-Ljbffr