Workday

Workday

Machine Learning Engineer

Canada, BC, Vancouver · Senior

Sponsorship not specified$128k-$192kDetected 5 days ago
PythonAlgorithmsAWSGCPMachine LearningDeep LearningPyTorchscikit-learnPandasData ScienceNLPLLMsRAGAI OrchestrationStatisticsAccountingERPHRISResearchMentoring

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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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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 66 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card intent detected

Workday, Inc. obtained a prevailing wage determination for Software Developers in Boulder, COLORADO on 2026-06-15. No matching green-card filing appears in our data yet. The determination expires in 7 days (2026-09-12), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file

Green-card follow-through: 98%

Of 58 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 497 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

49 transfer filings in the last year, covering 49 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • The evaluation, scalability, and observability of these features.
  • Serve as a technical role model for more junior engineers
  • Do you want to be part of the team which is reinventing Enterprise Financials for the agentic age?

Responsibilities

  • You will work with other engineers to deliver ML solutions across Workday's ML infrastructure, from training ML models to developing APIs, as well as managing the lifecycle of such products and services.
  • Own exploration, design, implementation, and deployment of features.
  • Working closely with product managers, we build advanced prototypes as well as deploy full production-grade features to solve our customer's most pressing business challenges.
  • Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.

Requirements

  • 5+ years of professional experience with Python and supporting numeric libraries, with experience in shipping production code and models
  • 5+ years of professional experience with cloud computing platforms (e.g. AWS, GCP, etc.)
  • Strong understanding of statistical analysis, ML paradigms and algorithms, and natural language processing, with a focus for information retrieval and/or recommendation system use cases.
  • Professional experience in independently solving ambiguous, open-ended problems and technically leading a 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).
  • Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree.
  • 5+ years of professional experience in building information retrieval systems
  • 5+ years of professional experience building scalable, production-level ML services on platforms such as Kubernetes.
  • 5+ years of professional experience in ML and deep learning frameworks & toolkits, such as scikit-learn, Pandas, PySpark, Pytorch, TensorFlow.
  • 3+ years of professional experience in developing with LLMs, RAG, and AI agents.

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

  • 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

  • The Financials Hyper Automation AI team is a small, advanced team of ML engineers charged with re-envisioning and building the next generation of ERP Financial and Accounting systems.
  • We have an entrepreneurial mindset with a focus on creating delightful, intelligent experiences, leveraging the state-of-the-art in AI as well as strong, proven techniques from conventional machine learning.
  • Our current areas of development include strong reasoning agents for complex financial workflows and agentic self-improvement.
  • You will be backed by Workday's vast computing resources and 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 a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.
  • Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.
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This listing is sourced directly from Workday's careers page and normalized into a canonical job model.