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Senior/Principal Machine Learning Engineer
WillHireSenior/Principal Machine Learning Engineer designing core ML systems for AI agents at Workday. Collaborating with cross-functional teams and leading efforts in full lifecycle development of ML solutions.
Posted 6/13/2026full-timePleasanton • California, Washington • 🇺🇸 United StatesSenior💰 $228,000 - $342,000 per yearWebsite
Tech Stack
Tools & technologiesAWSCloudGoogle Cloud PlatformPyTorchTensorflow
About the role
Key responsibilities & impact- Design and build core ML systems for Workday’s AI agents
- Collaborate with software engineers, product managers, and data scientists
- Own the full lifecycle from problem framing to deployment
- Implement frameworks for LLM-powered agents
- Ensure solutions are scalable, observable, and enterprise-ready
Requirements
What you’ll need- 10+ years experience in data science, machine learning, or software development
- 4+ years of experience in machine learning and deep learning frameworks such as Pytorch, TensorFlow
- 6+ years of experience in building services to host machine learning models in production
- 3+ years of experience working with large language models (LLMs)
- Proven experience with cloud computing platforms (e.g. AWS, GCP)
- Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math
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
machine learningdeep learningPytorchTensorFlowlarge language modelscloud computingmodel deploymentproblem framingscalabilityobservability
Soft Skills
collaborationcommunicationownershipproblem-solvingteamwork
Certifications
Bachelor's degreeMaster's degreePhD