Senior Machine Learning Engineer - Embedded AI

Responsibilities

• Pennylane is one of the fastest growing Fintechs in France (and soon in Europe!). In 5 years of existence, we've managed to:
• 🌍 Build an international environment with more than 25 nationalities and a strong remote-friendly culture, where 30% of employees already work from all parts of Europe
• The Embedded AI team owns the first layer. We build the specialized machine learning systems behind Copilot and Autopilot: invoice parsing, document classification, accounting suggestions, matching, scoring, Bookkeeping Autopilot and Revision Autopilot.
• You will design and ship ML systems for document understanding, extraction, classification, matching, ranking, scoring and recommendations.
• You will own the full lifecycle of your solutions: problem framing, data and labeling strategy, baselines, training, evaluation, deployment, experimentation, monitoring and maintenance.
• You will partner with Product, Engineering and accounting experts to understand workflows, define what “correct” means and integrate ML naturally into the user experience.
• You will stay ahead of the curve by monitoring emerging ML and AI techniques — including multimodal and generative models — and applying them when they create measurable value.
• You will meet your product and engineering partners and contribute to a first scoped improvement.
• You will lead larger cross-team ML projects and help shape the Embedded AI roadmap.
• This means opportunities to mentor new team members, lead major product initiatives and help define the technical standards that make trusted AI possible at Pennylane.

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