Workday

Workday

Sr Associate Machine Learning Engineer

Canada, BC, Vancouver · Senior

Sponsorship not specified$100k-$150kDetected 21 days ago
PythonJavaC++AlgorithmsAWSGCPMachine LearningDeep LearningTensorFlowPyTorchData ScienceNLPLLMsRAGAgentic AIAI OrchestrationStatisticsAgileHRISResearchCommunicationCollaborationMentoring

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). 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 follow-through: 99%

Of 78 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

  • This role is crucial in implementing tooling strategies, staying informed about industry trends, and ensuring our AI-driven solutions integrate effectively within the Workday stack.
  • It's fun to work in a company where people truly believe in what they're doing.
  • At Workday, we're committed to bringing passion and customer focus to the business of enterprise applications.

Responsibilities

  • Collaborate with a team of innovative engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making.
  • Implement and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance.
  • Work with product, engineering, and data science teams to implement AI-based automation solutions that enhance HR and financial operations.
  • Collaborate with external AI vendors, cloud providers, and open-source communities to integrate best-in-class technologies into our AI stack.
  • Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.

Requirements

  • 2+ years of professional experience with Python, Java, C++, etc. and supporting numeric libraries, with experience in shipping production code and models
  • 1+ years of professional experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
  • Professional experience in independently solving ambiguous, open-ended problems and technically leading teams
  • Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning
  • 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.
  • 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
  • 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, etc.

Nice to have

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

Skills

  • Your work days are brighter here.

Compensation

  • $100,000 - $150,000 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

  • Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams
  • Contribute to establishing monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time.
  • 1+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow, Huggingface
  • 1+ years of professional experience in building services to host machine learning models in production at scale with cloud computing platforms (e.g. AWS, GCP, etc.)
  • 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

  • We work hard, and we're serious about what we do.
  • But we like to have a good time, too.
  • In fact, we run our company with that principle in mind every day:
  • One of our core values is fun.
  • Would you like to be part of an innovative, agile force architecting intelligent agents that will revolutionize our customers' workday?
  • Join the AI Agent Engineering team, where we're pioneering cutting-edge HR & Finance AI Agents that deeply integrate within the Workday suite.
  • Be part of an innovative, agile force architecting intelligent agents that will revolutionize our customers' workday.
  • We are seeking highly skilled Machine Learning Engineers to contribute to a cross-functional team building transformative AI agents for HR & Finance.
  • In fact, we run our company with that principle in mind every day: One of our core values is fun.

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.