Senior ML Engineer

Who you are

• Master’s degree in statistics, data science, AI (or any related domain)
• 5+ years of experience as a data engineer or data scientist working on ML applications
• Experience in Computer Vision (Classification, Detection and Segmentation)
• Experience in NLP (LLM, pre-processing, word embeddings)
• Experience with our Data Engineering stack (Mongodb, SQL, Spark, Airflow, dvc)
• Experience with our ML stack (pytorch, sklearn, skimage)
• Have a strong sense of responsibility and rigor, from PR Reviews to ownership of features
• Being proactive in proposing new features or technologies
• Experience with medical images
• Experience with image and text alignment, VLM, LLaVA
• Experience in training or fine-tuning foundation models (pipeline and resource management)

What the job involves

• As a Machine Learning Engineer in the AI team, you will be a bridge between experimental research and robust production systems, directly empowering our AI researchers to build, scale, and deploy cutting-edge technologies. In this supportive yet highly impactful role, your core focus will be to:
• Maintain the overall quality and continuous evolution of both our datasets and our ML models
• Take ownership of the AI team’s codebase, refining architecture, enforcing high standards through rigorous pull request reviews, and actively spreading modern software engineering best practices across the team
• Optimize and operate our Foundation Model pipeline (data preparation, training, validation)
• Drive AI-related feature development and build streamlined pipelines to significantly reduce the time it takes to move models and operating points into production environments
• Success in this role relies on seamless cross-functional collaboration, as you will partner closely with our Ops, MLOps, and Software Engineering teams to ensure smooth infrastructure integration and system reliability
• Ensure quality and continuous improvement of our datasets
• Ensure quality and continuous improvement of our models
• Reduce time to production of AI models and operating points
• Support AI-related feature developments
• Improve and maintain the AI team’s codebase
• Learn and spread dev good practices and guidelines in the team
• Collaborate closely with the Ops, MLOps and Dev teams

The application process

• Screening interview with our Head Of AI (30 min, remote)
• Technical interview with our Deep Learning Researchers (2 hours, at the office or remote)
• Meet the team and founders (2h30 hours, at the office)

Benefits

• Meal vouchers (Swile) and optional BSPCE
• Flexible work: Possibility of working remotely two days per week
• Time-off: 5 weeks of paid holidays and 2 weeks of RTT
• Annual off-sites: Two company holidays each year in amazing locations
• Healthcare: Alan Blue mutuelle
• Classic Perks: Transportation
• Localization: Great office in Paris 2nd arrondissement, next to metro Grands Boulevards
• Activities with colleagues: Games, Sports (Basketball session, Urban soccer, …), After works in a bar, karaoke or other activities