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Pennylane is a fast-growing fintech building the financial operating system for European SMEs and accounting firms. The Embedded AI team owns the specialized machine learning systems powering Copilot and Autopilot features, including invoice parsing, document classification, accounting suggestions, matching, scoring, and bookkeeping automation.
As a Senior Machine Learning Engineer on the Embedded AI team, you will design and ship end-to-end ML systems that solve complex accounting problems. You'll own the full lifecycle of solutions—from problem framing and data strategy through training, evaluation, deployment, monitoring, and continuous improvement. Your work directly impacts millions of entrepreneurs by automating time-consuming financial tasks while maintaining user trust.
Key responsibilities include:
- Designing ML systems for document understanding, extraction, classification, matching, ranking, and recommendations
- Contributing to Copilot and Autopilot experiences, including Bookkeeping and Revision Autopilot
- Defining quality metrics that reflect real user value: precision/recall, automation coverage, straight-through processing, correction rates, latency, and cost
- Partnering with Product, Engineering, and accounting experts to understand workflows and integrate ML naturally into user experience
- Choosing the simplest reliable approach for each problem—deterministic logic, classical ML, deep learning, or generative AI
- Turning user corrections and production failures into better datasets and models
- Improving shared ML engineering practices: reusable components, experimentation, observability, data quality, and reliable pipelines
- Monitoring emerging ML and AI techniques and applying them when they create measurable value
You'll work with Python, PyTorch, PySpark, Redshift, Airflow, and AWS SageMaker. Within three months, you'll own an Embedded AI use case end-to-end with clear metrics and ship meaningful improvements. Within six months, you'll lead larger cross-team ML projects and help shape the Embedded AI roadmap. The role offers mentorship opportunities as the ML & AI teams grow with the company.
