Senior Machine Learning Engineer - Embedded AI

The role

You will design and ship machine learning systems for document understanding, extraction, classification, matching, ranking, scoring and recommendations. You will own the full lifecycle of solutions including problem framing, training, deployment, and monitoring. This role works within the Embedded AI team to improve Copilot and Autopilot experiences.

What you will do

• Design and ship ML systems for document understanding, extraction, classification, matching, ranking, scoring and recommendations
• Contribute to Copilot and Autopilot experiences
• Own the full lifecycle of solutions from problem framing to maintenance
• Turn user corrections and production failures into better datasets and models
• Define quality metrics like precision, recall, automation coverage, and latency
• Partner with Product, Engineering and accounting experts
• Choose the simplest reliable approach for each problem
• Improve shared ML engineering practices
• Monitor emerging ML and AI techniques

Required qualifications

• 5–8 years of experience
• Very strong in Python
• Hands-on experience building and operating machine learning systems at scale in production
• Ability to frame ambiguous product problems and establish baselines
• Strong experience in several of these areas: 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
• Communicate well with software engineers, product managers and non-technical domain experts
• Fluent in English

Nice to have

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

Before you apply

• A first interview with our Talent Acquisition Manager
• A case study interview covering problem framing, data, modeling, evaluation, deployment and monitoring
• A past project interview to discuss your experience and technical decisions
• An interview with our Tech & Product leaders to discuss our company culture

About the company

Pennylane is a fast growing Fintech in France aiming to become the most beloved financial Operating System of French SMEs and Accounting Firms. It has a strong remote-friendly culture with more than 25 nationalities.