Embedded AI ML Engineer — automate invoices & documents

Pennylane; Gallipolis (OH); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Pennylane is seeking a Machine Learning Engineer – Embedded AI to join the Embedded AI team within our ML & AI organization. You will design and ship ML systems for document understanding, extraction, classification, matching, ranking and recommendations, helping automate accounting workflows for SMEs.

You will own the full lifecycle of solutions—from problem framing and data strategy to training, evaluation, deployment and monitoring—while improving automation and user trust across production

Responsibilities

• Design and ship ML systems for document understanding, extraction, classification, matching, ranking, scoring and recommendations.
• Contribute directly to Copilot and Autopilot experiences, including Bookkeeping Autopilot and Revision Autopilot.
• Own the full lifecycle of your solutions: problem framing, data and labeling strategy, baselines, training, evaluation, deployment, experimentation, monitoring and maintenance.
• Turn user corrections and production failures into better datasets, models and product behavior.
• Define quality metrics that reflect real user value: precision and recall, automation coverage, straight-through processing, human correction rate, latency and cost.

Job description

Pennylane is seeking a Machine Learning Engineer – Embedded AI to join the Embedded AI team within our ML & AI organization. You will design and ship ML systems for document understanding, extraction, classification, matching, ranking and recommendations, helping automate accounting workflows for SMEs.

You will own the full lifecycle of solutions—from problem framing and data strategy to training, evaluation, deployment and monitoring—while improving automation and user trust across production