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Principal Machine Learning Engineer
WillHirePrincipal Machine Learning Engineer developing tailored user experiences and ML solutions at Workday. Driving innovation in document intelligence and contract management with advanced AI technologies.
Posted 4/16/2026full-timeSeattle • Washington • 🇺🇸 United StatesLead💰 $210,600 - $316,000 per yearWebsite
Tech Stack
Tools & technologiesAWSCloudGoogle Cloud PlatformPyTorchTensorflow
About the role
Key responsibilities & impact- Develop tailored user experiences using advanced LLMs and predictive analysis
- Collaborate to deliver ML solutions across product ecosystem
- Develop and deploy new products at scale
- Continuous improvement and quality focus
- Strong sense of ownership and teamwork
Requirements
What you’ll need- 10+ years experience in data science, machine learning engineering
- 4+ years of experience with Pytorch, TensorFlow
- 6+ years in building services to host ML models
- 3+ years with large language models and text generation
- 6+ years with cloud computing (AWS, GCP, etc.)
- Proven experience leading and mentoring ML Engineering teams
- Bachelor's (Master’s or PhD preferred) degree in relevant fields
Benefits
Comp & perks- Workday Bonus Plan
- Role-specific commission/bonus
- Annual refresh stock grants
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
data sciencemachine learning engineeringPytorchTensorFlowML model hostinglarge language modelstext generationcloud computingAWSGCP
Soft Skills
ownershipteamworkcollaborationmentoringleadershipcontinuous improvementquality focus
Certifications
Bachelor's degreeMaster’s degreePhD