Machine Learning Manager

Summary

Join Pennylane, a rapidly growing Fintech company in France, as a Machine Learning Manager. You will lead a team of 5, contributing to the design and implementation of machine learning solutions. Collaborate with product managers and engineers to deliver high-impact results. This hands-on role (50% management) requires 4-5 years of ML engineering experience and 2+ years managing ML profiles. Pennylane offers a comprehensive benefits package, including excellent healthcare, lunch credits, flexible work arrangements (office, WeWork, remote with budget), additional vacation days, wellness programs, and access to professional development resources. The company fosters a collaborative and inclusive environment.

Requirements

• Have had previous experiences in Machine Learning Engineering, ideally in scale-up environments (4-5 years)
• Have at least 2 years of experience managing Machine Learning profiles
• Are seasoned working with Python and cloud technologies (ideally AWS)
• Are looking for a hands-on management role (around 50%)
• Are confortable collaborating with cross-functional stakeholders beyond the data team
• Like being challenged and solving complex problems (accounting is complex in Europe)
• Have strong communication skills and are capable of articulating your ideas clearly
• Are Fluent in English - French is a plus

Responsibilities

• Contribute technically to the design and implementation of machine learning solutions and tools across the entire ML lifecycle, from model training and tuning to deployment, inference, experimentation and monitoring
• Collaborate with Product Managers to ensure the highest impact and quality of machine learning work for our users, as well as the best atmosphere and motivation in the team
• Grow your team continuously, and team up with other managers to set up the right culture and processes to enable people
• Work closely with data engineers and software engineers to quickly deploy end-to-end solutions with a direct impact on our users, and improve our machine learning ecosystem

Benefits

• You will have a great healthcare cover (Alan Blue) to take care of yourself and your family
• You will have lunch credits (Swile card) to buy your favorite food every day
• You will be able to work from our wonderful office in the center of Paris, or from any WeWork in Europe
• If you have a fully remote contract, you will have a budget to turn your home into a more comfortable workspace, as well as a monthly allowance to work from a coworking space whenever you feel like it
• You will get 10 additional days off (to the 25 standard ones) to rest and do what you love each year
• Through our partner Gymlib, you will have access to 8000 fitness spaces and more than 300 activities related to wellness
• You will have access to Busuu to perfect your english or learn a new langage of your choice
• You will get the latest Apple equipment