Machine Learning Engineer (remote)

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

Are you seeking a work environment that values trust, proactivity, and autonomy?

Do our Engineering principles align with your vision?

Then Pennylane is the right place for you!

Our vision

We aim to become the most beloved financial Operating System for French SMEs and Accounting Firms (and soon, European ones).

We help entrepreneurs eliminate time-consuming accounting and finance tasks while providing access to key financial information for better decision-making.

About us

Pennylane is one of France's fastest-growing Fintechs (expanding into Europe soon!).

In 4 years, we have:

• Established ourselves as a groundbreaking accounting and financial software for small businesses and their accountants
• Raised €225 million, including investments from Sequoia, known for backing Google, Facebook, Airbnb, Stripe, Paypal, and more
• Grown from 7 cofounders to over 650 employees, recognized as one of the best places to work in France with a 4.6/5 Glassdoor rating
• Built an international team with over 25 nationalities and a strong remote culture, with 30% working across Europe
• Gained the trust of thousands of customers and accounting firms, earning outstanding ratings

Over 350,000 SMEs and 4,500 accounting firms use Pennylane in France!

Why this position is vital to our mission

At Pennylane, data-driven decisions are core; leadership promotes a culture where data is treated as a production asset, accessible company-wide to enhance user experience.

As a Machine Learning Engineer, you will play a key role in large projects, applying your expertise to meet high standards of delivery.

How you will contribute

You will be part of the Machine Learning team (5+ members) within the Data department (25+ members).

• Implement machine learning solutions throughout the ML lifecycle: training, tuning, deployment, inference, experimentation, monitoring
• Contribute to our Data Platform to support ML applications in production
• Collaborate with Data Scientists and Engineers to scale ML applications
• Work with Product teams to plan and deliver ML solutions effectively

What to expect from life at Pennylane

Within one month:

• Complete onboarding and understand our vision
• Familiarize with our stack and complete initial projects
• Meet stakeholders and learn our products and operations

Within 3 months:

• Manage your roadmap items independently
• Become comfortable with our tech stack (Python, PySpark, Redshift, Airflow, AWS Sagemaker)
• Contribute to cross-team projects

Within 6 months:

• Proactively contribute to the team's roadmap
• Improve our stack and data platform
• Share your expertise within the team

Beyond: The data team will grow with the company, offering opportunities to mentor, lead projects, and innovate processes and tools.

Recruitment process

• First interview with Talent Acquisition
• Case study interview (75 min)
• Past project discussion (60 min)
• Interview with Tech & Product leaders

We move fast; expect the process to take 15-25 days.

Work-life perks

• Remote work in Europe within 2 hours of CET
• 25 paid vacation days
• Competitive salary and company shares
• Home workspace budget and coworking allowance
• Access to Gymlib for wellness activities
• Language learning via Busuu
• Latest Apple equipment
• Regular company events and retreats

For France-based employees: French contract with RTT, PTO, lunch credits, healthcare, and local events. We aim to extend these benefits internationally.

Who we seek

To succeed at Pennylane, you should:

• Speak English (assessment based on the role)
• Enjoy dynamic, changing environments
• Be collaborative and proactive
• Prioritize business impact in your work

We encourage all qualified candidates to apply, embracing diversity and inclusion to create a safe, equitable workplace.