[Hiring] Senior Machine Learning Engineer @Pennylane SAS

Role Description

As a Machine Learning Engineer — Embedded AI at Pennylane, you will:

• Join the Embedded AI team within our ML & AI organization.
• Design and ship ML systems for document understanding, extraction, classification, matching, ranking, scoring, and recommendations.
• Contribute directly to our 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.
• Partner with Product, Engineering, and accounting experts to understand workflows and integrate ML naturally into the user experience.
• Choose the simplest reliable approach for each problem — deterministic logic, classical ML, deep learning, or generative AI.
• Help improve our shared ML engineering practices: reusable components, experimentation, observability, data quality, and reliable training and inference pipelines.
• Stay ahead of the curve by monitoring emerging ML and AI techniques and applying them when they create measurable value.

Qualifications

• 5–8 years of experience and strong proficiency in Python.
• Hands-on experience building and operating machine learning systems at scale in production.
• Ability to frame ambiguous product problems, establish baselines, and select useful metrics before optimizing a model.
• Strong experience in areas such as document AI, NLP, classification, ranking, recommendation, anomaly detection, deep learning, or generative AI.
• Care about data quality, observability, failure modes, cost, and long-term maintainability.
• Balanced blend of technical, business, and product skills; effective communication with software engineers, product managers, and non-technical domain experts.
• Fluency in English; French is not mandatory.

Requirements

• Experience with accounting, fintech, or other high-trust business workflows (nice to have).
• Experience with human-in-the-loop systems, active learning, or learning from user corrections (nice to have).
• Experience running ML systems at scale with strict latency, reliability, or cost constraints (nice to have).
• Familiarity with multimodal or generative models for document understanding (nice to have).

Benefits

• Opportunity to mentor new team members and lead major product initiatives.
• Help define the technical standards that make trusted AI possible at Pennylane.

Company Description

Pennylane is one of the fastest growing Fintechs in France, aiming to become the most beloved financial Operating System for SMEs and Accounting Firms. In 5 years, we have:

• Raised a total of €400 million from notable investors.
• Grown from 7 cofounders to 1,000 employees.
• Built an international environment with over 25 nationalities.
• Earned the trust of thousands of customers and accounting firms.
• Reached over 1,000,000 SMEs and 6,000 accounting firms using our services.