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. 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.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 don’t 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 Qualifications5+ 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 evaluation2+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch,



TensorFlow2+ years of professional experience in building services to host machine learning models in production at scale2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases2+ 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 equivalentSr. MLE6+ 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 evaluation3+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow3+ years of qualified experience in building services to host machine learning models in production at scale3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases3+ 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 equivalentOther QualificationsStay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovationDeep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use casesProfessional experience in independently solving ambiguous, open-ended problems and technically leading teamsExcellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholdersProven 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 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, pleaseview the benefits page .Pay and Location Primary Location: CAN.BC.Vancouver Primary Location Base Pay Range: $128,000 CAD - $192,000 CAD Primary CAN Base Pay Range: $138,000 - $208,000 CAD#J-18808-Ljbffr

📌 Ai Engineer/Senior Ai Engineer - Evisort - C$128,000 - C$208,000 A Year (Toronto)
🏢 Evisort
📍 Toronto