Senior Machine Learning Engineer

Are you looking to have an impact on the daily life of millions of entrepreneurs in France (and tomorrow in Europe)? Are you looking for a work environment that values trust, proactivity, and autonomy? Are our Engineering principles aligned with your vision? Then Pennylane is the right place for you!

Our vision

We aim to become the most beloved financial Operating System of French SMEs and Accounting Firms (and soon, European ones). We help entrepreneurs rid themselves of time-consuming tasks related to accounting and finance while giving them access to the key financial information they need to make the best decisions for their business.

About us

Pennylane is one of the fastest growing Fintechs in France (and soon in Europe!). In 5 years of existence, we've managed to:

• Make ourselves known as a groundbreaking accounting and financial software for small businesses and their accountants
• Raise a total of €400 million, including from Sequoia — the famous Silicon Valley fund that invested early in companies like Google, Facebook, Airbnb, Stripe and Paypal
• Grow from 7 cofounders to 1,000 happy Pennylaners, and earn a place among the greatest companies to work for in France (and remotely), with a 4.6/5 rating on Glassdoor
• Build an international environment with more than 25 nationalities and a strong remote-friendly culture, where 30% of employees already work from all parts of Europe
• Earn the trust of thousands of customers and accounting firms, with outstanding ratings
• Reach more than 1,000,000 small and medium-sized enterprises (SMEs) and over 6,000 accounting firms using Pennylane in France

WHY this position is of utmost importance to reach our mission

At Pennylane, every decision that is not backed by data is likely to be challenged (when data is available of course). This culture is embraced by the leadership team, and actively promoted everywhere. The role of the data team is to make this possible by treating data like a production asset, making it available company-wide, and using it proactively to improve Pennylane’s user experience.

By joining us as a Senior Machine Learning Engineer, you will have a pivotal role in large projects, bringing your engineering and machine learning expertise to help us meet our high delivery standards.

HOW you will contribute to the company as a Senior Machine Learning Engineer

As a Senior Machine Learning Engineer, you will be part of the Machine Learning team (10+ people), inside the Data department (50+ people).

• 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 fellow Machine Learning Engineers and Data Engineers to improve our ecosystem and enable a 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.

WHAT you can expect from your life at Pennylane

Within one month:

• You will learn everything about our company, our teams, and our vision during the first onboarding week.
• You will get familiar 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.

Within 3 months:

• 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.