Machine Learning Engineer (remote)

Are you looking to have an impact on the daily life of millions of entrepreneurs in France and Europe?

Do you thrive in a trustful, fast-paced environment?

Do you feel like our Engineering principles are aligned with your vision?

Then Pennylane might be the right place for you -and you, might be the perfect fit for this role.

We aim to become the most beloved financial Operating System of European SMEs.

We help business owners get rid of the time-consuming hassle of handling accounting and finance, while giving them access to key information that they can use to make better decisions.

Meanwhile, we're helping accountants. By using Pennylane, rather than doing manual and repetitive tasks, they can spend more time advising and guiding their clients.

Pennylane is one of the fastest growing Fintechs in France (and soon to be in Europe!)

In 2 years of existence, we've managed to:

1. Make ourselves known as a groundbreaking accounting and financial software for small businesses and their accountants.
2. Raise a total of €84 million, including from Sequoia, the famous fund from Silicon Valley that invested early in companies like Google, Facebook, Airbnb, Stripe, Paypal, and much more.
3. Grow from 7 co-founders to 250 happy Pennylaners: we're now recognized as one of the greatest places to work in France (but also remotely), with a 5/5 rating on Glassdoor and an e-NPS of 94.
4. Build an international environment with more than 26 nationalities, with a strong remote-friendly culture, where 30% of the employees are already working from all parts of Europe.
5. Earn the trust of thousands of customers and accounting firms and obtain outstanding ratings .

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.

As a Senior Machine Learning Engineer, you will be part of the Machine Learning team (3+ people), inside the Data department (12+ people).

1. You will design machine learning solutions and tools across the entire ML lifecycle, from model training and tuning to deployment, inference, experimentation, and monitoring.
2. 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.
3. You will work closely with Machine Learning Scientists and Data Engineers to improve our ecosystem and enable a wider variety of ML applications.
4. 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.

1. You will learn everything about our company, our teams, and our vision during the first onboarding week.
2. 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.
3. You will be given time to meet your future stakeholders and gain a deep knowledge of our product and operations.

1. You will be fully in charge of items in our roadmap, defining and prioritizing your tasks autonomously.
2. You will be comfortable with our technical stack (Python, PySpark, Redshift, Airflow, AWS Sagemaker).
3. You will contribute to larger cross-team projects.

1. You will proactively contribute to the team's roadmap.
2. You will work with engineers and data practitioners on improving our stack and data platform.
3. You will share your learnings and best practices within the team.

Which means:

1. Opportunities to recruit and mentor new team members.
2. Increased accountability in project leadership.
3. Responsibilities to design and implement new processes, tools and best practices to make sure that your team works even more efficiently.

1. You will have a great healthcare cover (Alan Blue) to take care of yourself and your family.
2. You will have lunch credits (Swile card) to buy your favorite food every day.
3. You will be able to work from our wonderful office in the center of Paris, or from any WeWork in Europe .
4. 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.
5. You will get 10 additional days off (to the 25 standard ones) to rest and do what you love each year.
6. Through our partner Gymlib, you will have access to 8000 fitness spaces and more than 300 activities related to wellness.
7. You will have access to Busuu to perfect your English or learn a new language of your choice.
8. You will get the latest Apple equipment.
9. 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), and twice-a-year we hold company seminars (last time we went on a trip to the French Alps and it was fabulous!).

1. A first interview with our Talent Acquisition Manager.
2. A technical test to assess your coding skills (60-90 minutes).
3. A case study interview to discuss a topic closely related to one of our priorities (75 min).
4. A past project interview to hear about your experience (60 min).
5. An interview with our Tech & Product leaders to discuss our company culture.

We make sure we move fast; you can expect the recruitment process with us to last between 15 and 25 days in total.

You may have noticed that there was no section listing the skills or qualities required to apply for this specific job. Research showed that some people are less likely to apply than others if they don't feel like they meet the full list of criteria. So we have decided to take it down entirely.

We have tried to give you as much detail as we could about the purpose, missions, and environment of this role; it is now up to you to tell us if you think this is a position in which you could a) have fun and b) bring value to our company.

If you're hesitating, we encourage you to apply anyway: worst case scenario, you might lose a few minutes, and in the best case, it will be the start of a meaningful and long-lasting collaboration.

We also want to emphasize that we fully embrace diversity and that we're doing our best to create a safe and inclusive environment. We are committed to providing an equal employment opportunity regardless of gender, sexual orientation, origin, disabilities, or any other traits that make you who you are. If anything, diversity makes us a more fun place to work at.

To end with a humble illustration of our commitment, we've recently signed the Pacte Parité to set concrete goals in building a better and more inclusive workplace in the years to come.