Machine Learning Engineer
Your work days are brighter here.
At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.
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About the Team
The Document Intelligence team builds AI/ML-powered solutions to extract actionable insights from unstructured documents. We design scalable document processing pipelines that can ingest and interpret large volumes of data with minimal manual intervention. Our work includes advanced document parsing using NLP, computer vision, and large language models (LLMs), along with in-house model training for entity resolution. We integrate seamlessly with business workflows for areas like financials, spend management, and more. By continuously evolving our models to handle new document types and edge cases, we help automate and accelerate critical business processes across the organization.About the Role
We are looking for a Machine Learning Engineer to join the ML - Document Intelligence team to drive the design and development of our core Document Intelligence Platform as a Service. In this role, you will work on building and optimizing critical features like generic document entity extraction, entity resolution, and document classification, leveraging cutting-edge AI/ML techniques.
Your primary focus will be to:
Support the design and implementation of LLM-based technologies for document parsing, entity extraction, and classification tasks.
Apply traditional ML and deep learning techniques to continuously enhance the accuracy, efficiency, and scalability of our document intelligence models.
Build scalable ML pipelines and services for data preprocessing, feature engineering, training, and inference, enabling high-volume document processing workflows.
Perform exploratory data analysis (EDA) on diverse document datasets to uncover valuable insights, optimize feature engineering, and inform model development.
You will also:
Collaborate with software engineers, Workday app developers, product managers, and other ML teams
Take ownership for finding creative solutions that move projects forward
Write clean, maintainable, and testable code following best practices 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.
About You
Basic Qualifications
4+ yrs experience as part of a data science, machine learning software development team or relevant work in a PhD program.
3+ years of experience with Python and ML frameworks such as PyTorch or TensorFlow
2+ years experience related to machine learning, deep learning, NLP, GenAI, multi-agent AI systems, distributed training, model hosting, etc.
3+ years experience in handling large-scale, complex data sets, data modeling, and productizing machine learning algorithms.
Other Qualifications
Strong knowledge of both classical machine learning and deep learning
Working knowledge of LLMs and their use in building agentic systems
Proficiency with using Spark for large-scale data processing
Excellent communication and collaboration skills, with a strong focus on team success and customer impact.
Posting End Date: 05/05/2025
If hired in Colorado, click here for information about Workday's comprehensive benefits in Colorado: https://workdaybenefits.com/us/welcome-to-workday-benefits/prospective-workmates.
The application deadline for this role is the same as the posting end date stated.
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 candidate’s 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 Workday’s comprehensive benefits, please click here.
Primary Location: CAN.BC.Vancouver
The application deadline for this role is the same as the posting end date stated as below:
Our Approach to 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.
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Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
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