Pennylane SAS - Senior Machine Learning Engineer

• You will own an Embedded AI use case end to end, with clear offline and production metrics. • You will have shipped a meaningful improvement to a Copilot or Autopilot capability. • You will be comfortable with our technical stack, including Python, Pytorch, PySpark, Redshift, Airflow, AWS SageMaker and our monitoring tools. • You will use real user feedback and error analysis to prioritize the next iterations. • You will lead larger cross-team ML projects and help shape the Embedded AI roadmap. • You will improve the reliability, automation coverage and maintainability of one or more production systems. • You will share best practices and raise the bar for ML engineering, evaluation and production ownership across the team. • And beyond: the ML & AI teams will continue growing with the company • 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. • Who are we looking for? • You may be a great fit if you: • Have 5–8 years of experience and are very strong in Python. • Have hands-on experience building and operating machine learning systems at scale in production — not only training models or running notebooks. • Know how to frame an ambiguous product problem, establish a baseline and select useful metrics before optimizing a model. • Have 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 as much as model performance. • Have a balanced blend of technical, business and product skills, and communicate well with software engineers, product managers and non-technical domain experts. • Are fluent in English; French is not mandatory. • 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. • What does the recruitment process look like? • A first interview with our Talent Acquisition Manager • A case study interview covering problem framing, data, modeling, evaluation, deployment and monitoring (75 min) • A past project interview to discuss your experience and technical decisions (60 min) • An interview with our Tech & Product leaders to discuss our company culture (30 min) • 🇫🇷 Données personnelles • Pennylane traite vos données pour gérer votre candidature et évaluer votre adéquation au poste. Si votre candidature n’aboutit pas, vos données peuvent être conservées 2 ans à compter de notre dernier échange ou de la clôture du recrutement afin de constituer & gérer un vivier de candidats. Vous pouvez vous opposer à tout moment et demander la suppression de vos données en écrivant à : [email protected]. Notre data policy🇬🇧 Personal Data • [email protected]. • Personal Data • Pennylane processes your data to manage your application and assess your suitability for the position. If your application is unsuccessful, your data may be retained for 2 years from our last exchange or the closing of the recruitment process, in order to build and manage a candidate pool. You may object at any time and request the deletion of your data by writing to [email protected]. Learn more🇩🇪 Personenbezogene Daten • [email protected] • Personenbezogene Daten • Pennylane verarbeitet Ihre Daten, um Ihre Bewerbung zu bearbeiten und Ihre Eignung für die Stelle zu beurteilen. Sollte Ihre Bewerbung nicht erfolgreich sein, können Ihre Daten bis zu 2 Jahre ab unserem letzten Austausch oder dem Abschluss des Rekrutierungsverfahrens gespeichert werden, um einen Kandidatenpool aufzubauen und zu verwalten. Sie können jederzeit Widerspruch einlegen und die Löschung Ihrer Daten beantragen, indem Sie an [email protected] schreiben. Mehr erfahren • [email protected] • 🇪🇸 Datos personales • Datos personales • Pennylane trata sus datos para gestionar su candidatura y evaluar su idoneidad para el puesto. En caso de que su candidatura no sea seleccionada, sus datos podrán conservarse hasta 2 años a partir de nuestro último contacto o de la finalización del proceso de selección, con el fin de constituir y gestionar una reserva de candidatos. Puede oponerse en cualquier momento y solicitar la eliminación de sus datos escribiendo a [email protected]. Más información • [email protected] • Más información