Machine Learning Engineer

Summary

Join Pennylane, a rapidly growing Fintech company in France, as a Senior Machine Learning Engineer and contribute to building the most beloved financial Operating System for European SMEs. You will be part of the Machine Learning team, designing and implementing machine learning solutions across the entire ML lifecycle, from model training and tuning to deployment, inference, experimentation, and monitoring. You will also contribute to the Data Platform, working closely with Machine Learning Scientists and Data Engineers to improve the ecosystem and enable a wider variety of ML applications. This role offers opportunities for growth, leadership, and the chance to make a real impact on the company's success.

Responsibilities

• You will design machine learning solutions and tools across the entire ML lifecycle, from model training and tuning to deployment, inference, experimentation and monitoring
• You will contribute to all parts of our Data Platform, from data ingestion and validation to transport, storage and exposure to consumers, in order to feed machine learning applications in production
• You will work closely with Machine Learning Scientists and Data Engineers to improve our ecosystem and make enable a wider variety of ML applications
• You will collaborate with Product teams to explore new possibilities and make sure that fulfilling user needs is always at the center of what we do

Benefits

• You will learn everything about our company, our teams, and our vision during the first onboarding week
• You will familiarize yourself with our stack, and have delivered a few small projects which will give you a concrete taste of our tools & processes
• You will be given time to meet your future stakeholders, and gain a deep knowledge of our product and operations
• You will be fully in charge of items in our roadmap, defining and prioritizing your tasks autonomously
• You will be confortable with our technical stack (Python, PySpark, Redshift, Airflow, AWS Sagemaker)
• You will contribute to larger cross-team projects
• You will proactively contribute to the team’s roadmap
• You will work with engineers and data practitioners on improving our stack and data platform
• You will share your learnings and best practices within the team
• Opportunities to recruit and mentor new team members
• Increased accountability in project leadership
• Responsibilities to design and implement new processes, tools and best practices to make sure that your team works even more efficiently
• 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
• You will be part of a vibrant social community: we do lots of sports together (foot, running, climbing...), we love to hang out and have a drink together (Thursday afterwork drinks on our rooftop is a usual thing), twice-a-year we hold company seminars (last time we went on a trip to the French Alps and it was fabulous!)