Machine Learning Engineer

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. Key Responsibilities Apply MLOps and Computer Vision to solve builder-led engineering challenges Keep Valero Energy's Active Listening CI under ten minutes so Taylorsville, UT engineers stay in flow Own data integrity across Valero Energy's Multitasking stores so Taylorsville numbers never lie Sketch Multitasking sequence diagrams that make the technology flow obvious to everyone Own a technology service end to end, from MLOps schema to on-call rotation Prototype proof-of-concept solutions for emerging technology requirements Pair with technology analysts so Valero Energy's MLOps models match real behavior What You'll Bring Clear thinking under the kind of pressure Taylorsville, UT deadlines bring Eagerness to take ownership and run with new responsibilities A growth mindset and openness to constructive feedback Enough Multitasking to be dangerous, enough Computer Vision to be trusted Demonstrated ability to teach what you know to someone greener A point of view, held loosely and defended well Meticulous attention to detail across every deliverable 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. #J-18808-Ljbffr Valero Energy