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Senior Machine Learning Engineer – AI Platform
WillHireMachine Learning Engineer developing and deploying AI-first products at Workday. Driving applied research, optimization, and MLOps in a collaborative environment.
Posted 6/17/2026full-timeVancouver • Colorado • 🇺🇸 United StatesSenior💰 $171,600 - $288,000 per yearWebsite
Tech Stack
Tools & technologiesCloudNode.jsPython
About the role
Key responsibilities & impact- Design and deploy sophisticated reasoning and planning agents
- Develop algorithms for automated node-level optimization
- Build hybrid search systems and semantic parsing products
- Engineer cloud-based pipelines and A/B testing frameworks
- Own the end-to-end MLOps process
- Work cross-functionally with PMs and engineers to deliver AI-first products
Requirements
What you’ll need- 3+ years of experience researching, developing and deploying production-grade ML systems
- 0.5+ years of experience building and evaluating NLP and LLM-powered products
- Engineering excellence with expert-level Python experience
- Advanced degree (Master's or Ph.D.) in a quantitative field or strong portfolio of peer-reviewed research publications
- Leadership ability to mentor junior engineers and lead cross-functional teams
Benefits
Comp & perks- Workday Bonus Plan or role-specific commission/bonus
- Annual refresh stock grants
- Flexible work arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningnatural language processinglarge language modelsPythonMLOpsalgorithm developmentcloud-based pipelinesA/B testingsemantic parsingnode-level optimization
Soft Skills
leadershipmentoringcross-functional collaboration
Certifications
Master's degreePh.D.