Remote Machine Learning Engineer (remote)

Description:

• Pennylane is seeking a Senior Machine Learning Engineer to join their remote team in Paris.
• The company aims to become the most beloved financial Operating System for European SMEs, helping business owners manage accounting and finance efficiently.
• The role involves designing machine learning solutions and tools across the entire ML lifecycle, including model training, tuning, deployment, inference, experimentation, and monitoring.
• The engineer will contribute to the Data Platform, working on data ingestion, validation, transport, storage, and exposure to consumers for machine learning applications.
• Collaboration with Machine Learning Scientists and Data Engineers is essential to improve the ecosystem and enable a wider variety of ML applications.
• The position requires working closely with Product teams to ensure user needs are prioritized.
• The onboarding process includes learning about the company, familiarizing with the technical stack, and delivering small projects within the first month.
• By three months, the engineer will autonomously manage tasks and contribute to larger cross-team projects.
• Within six months, the engineer will proactively contribute to the team’s roadmap and share learnings within the team.
• The data team is expected to grow, providing opportunities for recruitment, mentorship, and increased project leadership responsibilities.

Requirements:

• The job listing does not specify particular skills or qualities required for the position, encouraging candidates to apply if they feel they can contribute positively to the company.
• The company values diversity and aims to create a safe and inclusive environment for all employees.

Benefits:

• Employees receive comprehensive healthcare coverage (Alan Blue) for themselves and their families.
• Lunch credits (Swile card) are provided for daily meals.
• The option to work from the Paris office or any WeWork location in Europe is available.
• Fully remote employees receive a budget to enhance their home workspace and a monthly allowance for coworking spaces.
• An additional 10 days off are provided each year, on top of the standard 25 days.
• Access to 8000 fitness spaces and over 300 wellness activities through the partner Gymlib.
• Employees can use Busuu to improve their English or learn a new language.
• The latest Apple equipment is provided for work purposes.
• A vibrant social community exists, with opportunities for sports, social gatherings, and company seminars.