Computer Vision Engineer - 3D Modeling / Nerf Lazio

Computer Vision Engineer - 3D Modeling / Nerf
Roma
Lazio, Lazio

Computer Vision Engineer - 3D Modeling / NeRF | Rome, Italy

Adeptis Group is partnering with an exciting, well-funded start-up in Rome, Italy, to recruit an experienced Computer Vision professional with 3D modelling capabilities.

This well funded start-up is developing cutting-edge AI technology solutions that combat the impacts of climate change across industries.

They are offering a unique opportunity to make a real-world impact through technology.

Location: Hybrid (2-3 days per week on site in Rome)

Considering Relocators: Candidates with the right to work in Europe are welcome to apply!

Why This Role?

- Innovate: Work on trailblazing AI technologies that drive climate resilience.

- Create Impact: Be part of a mission-driven company addressing one of the biggest global challenges.

- Grow Rapidly: Join a well-funded start-up with ambitious growth plans, providing real opportunities for career progression.

- Collaborate: Work with a multidisciplinary team of leading experts in AI, Machine Learning, Computer Vision, Physics, and Mathematics.

What You'll Do:

- Develop detailed 3D models and environments using various Photogrammetry techniques including NeRF.

- Process 2D images and data required for 3D reconstruction and modelling.

- Optimise 3D models for performance and quality across various platforms and applications.

- Stay up-to-date with the latest advancements 3D modelling technologies, bringing fresh ideas and innovation to projects.

- Develop & Innovate: Build advanced AI and machine learning models to support climate resilience projects.

- Collaborate & Influence: Work closely with scientists and engineers to integrate AI solutions into climate models.

- Research & Lead: Drive R&D efforts, contributing to the development of next-generation AI methodologies.

- Optimise & Maintain: Enhance AI/ML pipelines for efficient, large-scale data analysis.

What We're Looking For:

- Educational Background: Degree in Computer Science/Engineering with at least 3 years of experience, or a PhD in a relevant field.

- AI & ML Expertise: Strong research or thesis experience in Computer Vision, Machine Learning, and Deep Learning.

- Technical Skills: Proficiency in Python (e. g. , SciPy, scikit-learn) and C++, with experience using Ubuntu.

- Frameworks & Tools: Hands-on experience with tools such as PyTorch, Jax, PyTorch-lightning, Keras, TensorFlow.

- Deep Learning Knowledge: Solid understanding of CNN, ViT, and advanced AI architectures.

- 3D Modelling: Familiarity with dust3r, mast3r, NeRFs.

- Mathematics & Probability: Strong foundation in mathematical modelling and probability theory.

To learn more, please apply via the link or contact Hubert Colvin on +44 (0) 2033 013 792 /

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