Senior Machine Learning Engineer - Embedded AI

Pennylane’s Embedded AI team builds the machine learning systems behind Copilot and Autopilot, including invoice parsing, document classification, accounting suggestions, matching and scoring. The role turns accounting problems into production ML products, working with product teams and accounting experts to define what “correct” means and improve automation and user trust.

The engineer owns solutions end to end, from problem framing and data strategy through training, evaluation, deployment, monitoring and maintenance. The work includes setting workflow-based quality metrics, learning from user corrections and production failures, and choosing among deterministic logic, classical ML, deep learning and generative AI. The stack includes Python, PyTorch, PySpark, Redshift, Airflow and AWS SageMaker. Highlights

• Build and operate ML systems for document understanding and accounting automation.
• Own an ML use case through production metrics and ongoing improvement.
• Work across Product, Engineering and accounting expertise.
• Apply ML and generative AI where they deliver measurable value.