Machine Learning Engineer Iii

Harkett

Boulder, CO, United States
Base: $143,400 - $215,200 usd; bonus/equity: eligi...
Fully remote
Python programming expertise
Cloud computing platforms experience
Machine learning model deployment
As a Machine Learning Engineer on the AI Core team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG

Job Summary

  • As a Machine Learning Engineer on the AI Core team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG.
  • You will collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem and use current software and data engineering stacks to enable training, deployment, and lifecycle management of a variety of ML models.
  • Workday offers the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul.

Matching Summary

As a Machine Learning Engineer on the AI Core team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG.

Salary

Base: $143,400 - $215,200 USD; Bonus/Equity: Eligible for bonus and stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • Python programming expertise
  • Cloud computing platforms experience
  • Machine learning model deployment
  • LLMs and natural language understanding
  • Docker and Kubernetes at scale
  • Data engineering and wrangling

Nice-to-have

  • Technical leadership and mentoring
  • Curious and collaborative mindset
  • Empathy and integrity culture
  • Flexible hybrid work environment
  • Innovation in AI and autonomous agents

Key Requirements

  • Bachelor’s degree in engineering or related field
  • 3+ years experience in applied machine learning products
  • 3+ years professional Python experience
  • 3+ years cloud computing experience
  • 3+ years building information retrieval or graph-based systems
  • 3+ years developing large language models
  • 3+ years building ML model hosting services
  • 3+ years experience with ML frameworks like PyTorch and TensorFlow
  • 3+ years data engineering with Pandas and PySpark
  • Experience with Kubernetes and Docker
  • Professional experience leading technical teams

Work Rights

Not specified

Tailored Resume

Cover Letter