Lead / Principal Process ML Engineer in San Diego, California at Koh Young America, Inc.

• Own the technical direction for key projects — set vision, define what to build, manage priorities, and be accountable for delivery
• Lead development of ML-driven process optimization products — from causal modeling to productization and customer deployment
• Make architecture decisions: select modeling approaches, define system boundaries, and evaluate trade-offs between physical fidelity, inference speed, and product constraints
• Define modeling strategy — decide which physics to encode, which architectures to use, and how to validate against real process data
• Drive architecture reviews and technical decision-making across the process optimization team
• Hire, mentor, and grow engineers — build a high-performing team through hiring, code reviews, and technical coaching
• Coordinate across HQ (Seoul) and overseas R&D labs — aligning research with product roadmaps across time zones
• Own production-grade delivery — models must run reliably inside equipment operating 24/7 on customer lines

Requirements

• Doctorate (Ph.D.)
• Mechanical Engineering, Physics, Computer Science, Electrical Engineering, or a related field