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Valero Energy is hiring a Machine Learning Engineer in Taylorsville, UT. The role focuses on applying MLOps and computer vision to solve engineering challenges while maintaining data integrity and fast, reliable deployment. You will own end-to-end tech services and prototype PoCs for emerging requirements, collaborating with analysts to align models with real-world behavior.
The position offers autonomy in scheduling and growth opportunities within a dynamic energy-tech environment.
Somewhere between the whiteboard sketch and the green deploy badge is the Machine Learning Engineer role we're opening in Taylorsville, UT. At Valero Energy, a remote Machine Learning Engineer earns $60,000 - $89,000, owns meaningful projects, and grows with a team that ships fast.
Few people outside UT realize that Valero Energy powers a surprising slice of the technology infrastructure running across Taylorsville, UT today. Politics die fast at Valero Energy because we put the awkward stuff on the table early.
Valero Energy offers $60,000 - $89,000 plus the autonomy to set your own schedule and the support to keep growing.
Demand on the technology team has us moving fast to fill this seat.