Workday

Workday

Machine Learning Engineer

Canada, BC, Vancouver

Sponsorship not specified$128k-$192kDetected 1 day ago
PythonAlgorithmsAWSGCPDockerKubernetesMachine LearningDeep LearningTensorFlowPyTorchscikit-learnPandasData EngineeringData ScienceNLPLLMsRAGAgentic AIAI OrchestrationStatisticsHRISResearchMentoring

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • Be responsible for evaluation, scalability and observability of these features.
  • Serve as a technical role model for more junior engineers
  • The Context and Retrievals team, part of Workday's AI Platform organization, tackles challenging problems at the intersection of machine learning, agentic reasoning, and enterprise-scale systems.

Responsibilities

  • You will collaborate with other engineers to deliver ML solutions across Workday's product ecosystem and use current software and data engineering stacks to enable training, deployment, and lifecycle management of a variety of ML models
  • Own exploration, design and implementation of features for our sophisticated ML platforms, pipelines and services.
  • Do you want to build AI-powered software that impacts millions of people every day?
  • Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.

Requirements

  • 3+ years of professional experience with Python and supporting numeric libraries, with experience in shipping production code and models
  • 3+ years of professional experience with cloud computing platforms (e.g. AWS, GCP, etc.)
  • Professional experience in independently solving ambiguous, open-ended problems and technically leading team
  • 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).
  • 3+ years of professional experience in building information retrieval systems and/or graph-based recommendation systems.
  • 3+ years of hands-on professional experience in developing large language models (LLMs), text generation models, or graph-based machine learning models for production, including data processing, model fine-tuning, model deployment and model evaluation
  • 3+ years of professional experience building services to host machine learning models in production at scale
  • 3+ years of professional experience in machine learning and deep learning frameworks & toolkits such as PySpark, Pytorch, TensorFlow, and Sklearn
  • 3+ years of professional experience with data engineering and data wrangling using e.g. Pandas and PySpark and other industry tools used to build scalable machine learning systems, such as Kubernetes and Docker
  • Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases

Nice to have

  • Bachelor's (Master's or PhD preferred) degree in engineering, data/computer science, physics, math or equivalent

Skills

  • Your work days are brighter here.

Compensation

  • $128,000 - $192,000 CAD
  • 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.

Benefits

  • As a Machine Learning Engineer on the AI Platform Context and Retrievals team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG.
  • Our Approach to Flexible Work
  • 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.

Company info

  • Our work delivers critical AI platform capabilities and differentiated, deep-value agent applications.
  • Additionally, you will develop and deploy new APIs/services using Docker/Kubernetes at scale and leverage Workday's vast computing resources on rich datasets to deliver transformative value to our customers.

Equal opportunity

  • Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
  • If you require assistance or an accommodation at any point, please email accommodations@workday.com.
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This listing is sourced directly from Workday's careers page and normalized into a canonical job model.