Senior AI & Computer Vision Software Engineer, Plain Concepts

• Strong problem-solving skills under uncertainty
• Fast experimentation mindset (hypothesis → prototype → measure → decide)
• Pragmatic delivery orientation without sacrificing code quality
• Continuous learning and curiosity
• Strong experience in Python
• Strong foundations in software engineering
• Solid knowledge of Computer Vision / Deep Learning, ideally including some of:
• Image/video processing
• 3D vision (point clouds, NeRF/Gaussian Splatting, spatial understanding)
• Segmentation/detection approaches (e.g., SAM-like models, grounding, multimodal)
• Ability to implement end-to-end solutions beyond notebooks, with production constraints in mind
• Good communication skills (technical + collaborative)
• Proficiency in English in an international environment

Desirable

• We’re Growing Our Research and Innovation Dream Team!
• Titles? Meh, we’re not big on them, but let’s call this one Senior AI & Computer Vision Software engineer
• As part of our international research squad, you’ll craft tailor-made solutions that wow our clients. This is a role for people who enjoy solving problems where there’s uncertainty, limited time/budget, and no obvious “correct” solution
• You’ll work on real innovation projects where the goal is to turn ambiguity into working software through an Agile, iterative approach, while keeping a high engineering standard
• Our Innovation team focuses on turning cutting-edge ideas into working software: we take promising research and early-stage technology and make it real, usable, and production-ready
• Break down complex, ambiguous problems into small iterations
• Prototype quickly, validate hypotheses, and discard approaches efficiently
• Make pragmatic decisions aligned with time, budget and constraints
• Define experiments and metrics to prove what works
• Study and apply recent techniques in AI / CV / 3D
• Combine tools and approaches creatively to explore solutions beyond the obvious
• Build Proofs of Concept to tackle problems not fully solved in the market
• Turn prototypes into production-ready solutions (robustness, maintainability, monitoring)
• Propose improvements in architecture, pipelines and workflows
• Contribute with internal sessions, demos, mentoring, documentation
• Participate in external knowledge sharing: articles, talks, workshops, conferences
• Evaluate immature technologies critically (trade-offs, limitations, feasibility)
• Reduce technical risk through iterative validation
• Help transform “cool demos” into reliable systems that can be maintained over time
• Write clean, maintainable, production-ready code
• Apply strong engineering practices (architecture, testing, performance)
• Participate actively in code reviews and technical discussions
• Collaborate in an Agile environment with strong ownership and teamwork

• The selection process: For this team, we have 5 steps, but not so big ones. We'll have one phonescreen (Talent team), 30' meeting to know you deeply with one member of the team, 30' to share ideas about practical case, meeting with 2 technical colleagues to present the final case study and last interview to meet the rest of the team