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Process Engineer

USA | Reading Plant | Reading | Pennsylvania💼 Full-time🗓 2026-08-18 → 2026-09-26

Core

Process Engineer supporting the Head of Product Development to translate product concepts into manufacturable processes for chocolate and confectionery products.

Role type

Process Engineer (Food Science/Confectionery)

Builds

Production-ready chocolate and confectionery products for Godiva and Pladis brands

Domain

Food Science / Confectionery / Chocolate Manufacturing

Deliverable

production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work -> physical/clinical work (Note: Corrected to 'physical/clinical work' based on allowed values? No, 'physical/clinical work' is for medical. The correct value for manufacturing is 'product features' or 'production ML models' doesn't fit. Let's re-evaluate the allowed list: 'production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work'. None fit perfectly. 'product features' is the closest for manufacturing output. However, the instruction says 'one of'. I will select 'product features' as it represents the tangible output of the process engineering work in this context, or 'infrastructure' if focusing on the process. Actually, 'product features' is best for the resulting product. Wait, the role is about the *process*. Let's look at the list again. 'infrastructure' usually means cloud/IT. 'product features' is software. This is a tricky mapping. The role creates the *process* to make the product. The output is the *product* itself. I will use 'product features' as the closest semantic match for 'manufacturing the product'.)

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