Engineering Manager - Computer Vision

The AI team is currently working on two core products:

• Waste: automated detection of illegal dumping, an existing product now scaling
• Safety: an intelligent urban monitoring solution, built from scratch

As an Engineering Manager - Computer Vision, your mission is twofold:

build robust, production-grade computer vision systems,

grow and lead a team of engineers and data scientists, in a demanding, real-world product environment.

Your impact is direct on the quality, reliability, and real-world deployment of models in production., * Lead the development and production deployment of computer vision models (detection, tracking, multimodal vision).

• Ensure technical excellence across the full model lifecycle: data, training, evaluation, cloud and edge deployment.
• Design and evolve the technical architecture of CV systems (vision stack, ML infrastructure, pipelines).
• Coach, mentor, and support team members' growth (1:1s, feedback, mentoring).
• Work closely with the Head of AI and product teams to align technical vision with business goals.
• Establish and maintain best practices: code quality, ML CI/CD, MLOps, monitoring, documentation.
• Actively contribute to technology choices and stay up to date with advances in applied computer vision and AI.

Key skills (must have)

• Strong expertise in applied computer vision, with hands-on production experience.
• Excellent knowledge of Python and software engineering best practices.
• Strong proficiency with PyTorch (or TensorFlow).
• Solid experience with detection and tracking models (YOLO, R-CNN, DeepSORT, etc.).
• Strong foundations in MLOps: pipelines, monitoring, versioning, deployment.
• Ability to own and arbitrate complex technical topics at the product level.

Nice to have

• Experience with Vision-Language Models (CLIP, Gemini, GPT-4).
• Cloud experience (AWS, GCP).
• Model optimization techniques: quantization, pruning, knowledge distillation.
• Edge deployment experience (Jetson, ONNX, TensorRT).
• Experience with large-scale multi-object tracking systems.

What Will Make the Difference

• Strong technical leadership, with the ability to make structuring, long-term decisions.
• Hands on capacity to participate in developing cutting edge computer vision products.
• Excellent communication skills, able to align and bring a team along around technical and product choices.
• A pragmatic mindset, focused on delivery and tangible product impact.
• A strong appetite for startup environments and for building systems and teams from the ground up.
• A genuine desire to help others grow and to build a strong, sustainable team over time.

• Hybrid work
• "Contrat cadre" and RTT (between 8-12 per year depending on the number of public holidays in the current year)
• A Mac or PC depending on your preferences
• BSPCE
• 60% coverage of meal vouchers worth €9 per worked day
• / Sustainable mobility allowance
• Mutuelle (Alan)
• Offices located in central Paris (9th arrondissement)
• Annual offsite with the whole team and plenty of company events