AMP Offices

Lead end-to-end delivery of multiple concurrent recycling system projects, managing scope, schedule, budget, risks, contractors, installation, commissioning, and customer communication. Coordinate cross-functional teams (Engineering, Supply Chain, Production), establish project controls, drive recovery plans, and implement improvements to cost, quality, and predictability while supporting field activities and site safety.

Develops and productionizes deep learning and machine learning perception models for robotics and recycling sortation. Responsibilities include experimenting with neural network architectures, designing computer vision solutions, conducting statistical experiments, deploying successful models, collaborating with data, modeling, and cloud infrastructure teams, and improving ML infrastructure.

Lead commercialization of recovered materials by developing end-market strategies, securing long-term offtake agreements, and originating strategic partnerships across organics and advanced recycling. Provide commercial analysis, pricing, contract support, and cross-functional coordination with R&D, Operations, Finance, and Marketing to validate market pathways and improve facility economics. Measure success by new strategic partnerships and commercial agreements that increase material value.