Senior Machine Learning Engineer - Embedded AI

Job summary

Responsibilities

Pennylane is becoming the financial OS of European SMEs and accounting firms. A growing share of the work done inside our product will be automated or assisted by AI. Our strategy operates at three layers: verticalized AI embedded in the product, an agent interface that makes Pennylane readable…

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

Tech stack

• Python
• PyTorch
• Spark
• Airflow
• AWS