10 hours ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Build and deploy ML capabilities for Workday’s AI Platform Context and Retrievals team, developing tailored user experiences with agentic AI, LLMs, and RAG. Own the design and implementation of ML platform features, pipelines, and services, ensuring evaluation, scalability, and observability. Create cloud-based architectures and production services, using Docker/Kubernetes and Workday computing resources to deliver transformative value for HR and Finance text data.

Location: Vancouver

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Own exploration, design, and implementation of features for ML platforms, pipelines, and services.
•Evaluate, improve scalability, and ensure observability for ML features.
•Apply LLMs and natural language understanding to analyze HR and Finance-related text data and design cloud-based ML architectures.
•Stay current on AI/LLM/RAG/autonomous agents and orchestration frameworks to drive innovation.
•Serve as a technical role model for more junior engineers.

Pay and Benefits

Salary: CAD 128,000 - 192,000 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor’s (Master’s or PhD preferred) degree in engineering, data/computer science, physics, math or equivalent.
•3+ years experience building applied machine learning products at scale through research, design, implementation, and production evaluation.
•3+ years professional experience with Python and supporting numeric libraries, including shipping production code and models.
•3+ years professional experience with cloud computing platforms (e.g., AWS, GCP).
•3+ years professional experience with machine learning frameworks/toolkits (PySpark, PyTorch, TensorFlow, Sklearn) and production ML systems (data engineering, deployment, and evaluation).

Experience:3+ yearsMachine learningLLMsCloud computingInformation retrievalRecommendation systemsData engineering

Education:Bachelor's

Skills:Technical leadershipCollaborationProblem-solvingMentoring

Tech Stack:PythonAWSGCPDockerKubernetesLLMsRAGNatural language understandingPySparkPyTorchTensorFlowSklearnPandas

Company Brief

Workday

Provides cloud-based enterprise applications for human capital management, financial management, payroll, and analytics. Delivers unified HR and finance software suites to large organizations, enabling workforce planning, talent management, payroll, and financial reporting.

Industry: HR Tech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Pleasanton, United States

Founded: 2005

Website LinkedIn

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Workday

10 hours ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: Vancouver

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Own exploration, design, and implementation of features for ML platforms, pipelines, and services.
•Evaluate, improve scalability, and ensure observability for ML features.
•Apply LLMs and natural language understanding to analyze HR and Finance-related text data and design cloud-based ML architectures.
•Stay current on AI/LLM/RAG/autonomous agents and orchestration frameworks to drive innovation.
•Serve as a technical role model for more junior engineers.

Pay and Benefits

Salary: CAD 128,000 - 192,000 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor’s (Master’s or PhD preferred) degree in engineering, data/computer science, physics, math or equivalent.
•3+ years experience building applied machine learning products at scale through research, design, implementation, and production evaluation.
•3+ years professional experience with Python and supporting numeric libraries, including shipping production code and models.
•3+ years professional experience with cloud computing platforms (e.g., AWS, GCP).
•3+ years professional experience with machine learning frameworks/toolkits (PySpark, PyTorch, TensorFlow, Sklearn) and production ML systems (data engineering, deployment, and evaluation).

Experience:3+ yearsMachine learningLLMsCloud computingInformation retrievalRecommendation systemsData engineering

Education:Bachelor's

Skills:Technical leadershipCollaborationProblem-solvingMentoring

Tech Stack:PythonAWSGCPDockerKubernetesLLMsRAGNatural language understandingPySparkPyTorchTensorFlowSklearnPandas

Company Brief

Workday

Industry: HR Tech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Pleasanton, United States

Founded: 2005

Website LinkedIn