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

• 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
• You’ll collaborate with multidisciplinary teams working at the intersection of:
• AI / Machine Learning
• Computer Vision (2D/3D)
• 3D graphics & spatial computing
• Solid software engineering practices
• Ready to take on projects that matter, with a team that’s as passionate as you are? Let’s make it happen!
• Be resolutive in uncertain environments
• 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
• Bring innovation into real projects
• 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
• Share knowledge and help the team grow
• Contribute with internal sessions, demos, mentoring, documentation
• Participate in external knowledge sharing: articles, talks, workshops, conferences
• Bridge the gap between research and production
• 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
• Build software the right way
• 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
• Flexible schedule 35 Hours / Week

• Phone screen
• 1st interview (adding presentation of a case study to be carried out)
• Team interview to meet colleagues
• Final interview with management (also to talk and review the case study)