Senior Machine Learning Engineer, Defect Quality & Systems

What you’d do

Technical lead in the Defect Engineering Systems group, owning the ML lifecycle for in-house vision models that detect and classify defects in a 24/7 manufacturing environment. Also mentors junior engineers and sets model deployment and validation practices. Found on the employer's careers page on Oct 17, 2026. Apply through the link.

You’ll need

• BS or MS in Software Engineering, CS, Data Science, Math or related STEM
• 5+ years relevant experience
• ML model development and deployment
• Computer vision modeling
• Mentoring junior engineers