Senior AI & Computer Vision Software engineer
Role details
Job location
Tech stack
Job description
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!
What you will do (responsibilities)
- 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
Requirements
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Mindset & soft skills
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Strong problem-solving skills under uncertainty
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Fast experimentation mindset (hypothesis * prototype * measure * decide)
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Pragmatic delivery orientation without sacrificing code quality
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Continuous learning and curiosity
Technical background
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Strong experience in Python
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Strong foundations in software engineering
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Solid knowledge of Computer Vision / Deep Learning, ideally including some of:
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image/video processing
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3D vision (point clouds, NeRF/Gaussian Splatting, spatial understanding)
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segmentation/detection approaches (e.g., SAM-like models, grounding, multimodal)
Ability to implement end-to-end solutions beyond notebooks, with production constraints in mindCommunication
- Good communication skills (technical + collaborative)
- Proficiency in English in an international environment
Nice to have (but not mandatory)
- Experience with C# and/or graphics engines (Unity, Unreal, Evergine)
- Experience deploying AI systems (Azure/AWS/GCP)
- Familiarity with MLOps practices (deployment, monitoring, reproducibility)
- Experience creating technical content (training, talks, workshops)
Benefits & conditions
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Salary determined by the market and your experience
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Flexible schedule 35 Hours / Week
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Fully remote work (optional)
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Flexible compensation (restaurant, transport, and childcare)
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Medical and dental insurance (completely free of charge for the employee)
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Individual budget for training or equipment and free Microsoft certifications
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English lessons
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Birthday day off
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Monthly bonus for electricity and Internet expenses at home
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Discount on gym plan and sports activities
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Plain Camp (annual team-building event)
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Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees The pleasure of always working with the latest technological tools!
Will you let us know you better?
The selection process: Simple
- 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)