Lead / Principal Process ML Engineer

Job Title: Lead / Principal Process ML Engineer

We are building AI platforms that run on real factory floors, predicting, optimizing, and controlling manufacturing processes in real time.

This role is needed to expand our process optimization capability — we need a technical leader who can own the full lifecycle of ML-driven process optimization products, from causal modeling to productization and customer deployment.

Currently there is no dedicated technical lead for this product area, and growing customer demand requires a senior leader to set the technical vision and drive execution.

Roles and Responsibilities

• 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

• Doctorate (Ph.D.)