Phillips 66
The Advisor III, Machine Learning Engineering (Data & MLOps) owns the full lifecycle of production-grade AI and machine learning solutions, addressing high-value business problems across Phillips 66. This role combines machine learning engineering with data engineering to build reliable, scalable, and maintainable AI products. The position partners with business leaders and technology teams to translate complex requirements into practical solutions that improve efficiency, reliability, and innovation.
Headquarters
Houston, Texas, United States
Company Size
10001+ employees
Founded
2012
Phillips 66 leads in energy manufacturing and logistics. Discover how we're powering the future. Learn more!
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Phillips 66.
Machine Learning Operations (MLOps) Engineer
Panera Bread
Machine Learning Operations (MLOps) Engineer
Vodafone Deutschland
Machine Learning Engineer
Wypoon Technologies
Senior Machine Learning Operations Engineer (MLOps)
Easygo
Machine Learning Engineer
Constellation Energy
Machine Learning Engineer (HPC & MLOps)
Progressive Robotics