Job Title

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 sundrenched optimism and drive. Whether you''''re building smarter solutions, supporting customers, or creating a space where everyone belongs, youll do meaningful work with Workmates whove got your back. In 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 Join the Evisort AI team at Workday, which powers Document Intelligence AI and Workdays CLM and Contract Intelligence offerings. Our mission is to change the way business deals get done. We build groundbreaking AI technology that can read and understand contract language to make every part of the dealmaking process from drafting, negotiating, reviewing, approving, or managing 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. This is your opportunity to build at the pace of innovation of a startup, while backed by the enormous support and impacting Workdays incredible customer base of 70M+ users. 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 Workdays product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various ML models. You will develop and deploy new products at scale and leverage Workdays vast computing resources on rich datasets to deliver transformative value to our customers. In addition to contributing to feature and service development, you must have an approach of continuous improvement, passion for quality, scale, and security. You must be curious and prepared to question or challenge choices and practices where they dont make sense to you or could be improved. 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 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 2+ years of professional 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.) Bachelors (Masters or PhD preferred) degree in engineering, computer science, physics, math or equivalent Sr. MLE 6+ 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 3+ years of professional 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.) Bachelors (Masters 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, openended 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. 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 rolespecific 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: 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, were combining the best of both worlds: inperson 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 inoffice 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. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email [email protected]. Are you being referred to one of our roles? If 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. #J-18808-Ljbffr