
Machine Learning Engineer – Agent Factory
WillHire
full-time
Posted on:
Location Type: Hybrid
Location: Pleasanton • California • Washington • United States
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Salary
💰 $165,600 - $248,400 per year
About the role
- Design and build the core ML systems behind Workday’s next generation of AI agents
- Own how models, agent logic, and orchestration layers come together in production
- Implement and evolve frameworks for LLM-powered agents, ensuring solutions are scalable, observable, and enterprise-ready
- Partner closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack
Requirements
- 5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale
- 2+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
- 2+ years of professional experience in building services to host machine learning models in production at scale
- 2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
- 2+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
- Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent
Benefits
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Hard Skills & Tools
machine learningdeep learningPytorchTensorFlowlarge language modelstext generation modelsgraph neural networkscloud computingproduction systemsscalable solutions