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.
About the Team Join the Evisort AI team at Workday, which powers Document Intelligence AI and Workday’s CLM and Contract Intelligence offerings.
We build ground breaking AI technology that can read and understand contract language to make every part of the deal-making process from drafting, negotiating, reviewing, approving, or managing the contracts happen faster, better, with reduced risks.
We build AI first products, and automate manual work, freeing up our customers time and accelerating their businesses.
You will be joining the Evisort AI team, which functions as a startup within Workday.
About the Role As a Machine Learning Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis.
You will collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various ML models.
In addition to contributing to feature and service development, you must have an approach of continuous improvement, passion for quality, scale, and security.
You also should have a product approach and strong intuition around how ML can drive a better customer experience.
Lastly, a strong sense of ownership and teamwork are essential to succeed in this role. About You Basic
Qualifications MLE 5+ years
experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow 2+ years of professional
experience in building services to host machine learning models in production at scale 2+ years of demonstrated
experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases 2+ years of proven
experience with cloud computing platforms (e.g. AWS, GCP, etc.) Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent Sr. MLE 6+ years
experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow 3+ years of professional
experience in building services to host machine learning models in production at scale 3+ years of demonstrated
experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases 3+ years of proven
experience with cloud computing platforms (e.g. AWS, GCP, etc.) Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent Other
Qualifications: 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 Professional
experience in independently solving ambiguous, open-ended problems and technically leading teams Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement.
Experience
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 2+ years of professional
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 3+ years of professional
Benefits
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.
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.
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.
Primary Location: CAN.BC.Vancouver Primary Location Base Pay Range: $128,000 CAD - $192,000 CAD Primary CAN Base Pay Range: $128,000 - $192,000 CAD Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in-person time and remote.
Additional details
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.
We’re 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 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.
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.
Our mission is to change the way business deals get done.
This is your opportunity to build at the pace of innovation of a startup, while backed by the enormous support and impacting Workday’s incredible customer base of 70M+ users.
You will develop and deploy new products at scale and leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers.
You must be curious and prepared to question or challenge choices and practices where they don't make sense to you or could be improved.