3D Machine Learning Engineer

3D Machine Learning Engineer (Computer Vision / Rendering / Generative 3D)

South Tyrol, Italy (Hybrid/4+ days onsite weekly)

European Tech Recruit are working with an innovative, fast-growing AI company building cutting-edge solutions at the intersection of 3D computer vision, machine learning, and rendering technologies to find a 3D Machine Learning Engineer .

Our client is developing advanced 3D systems that span the entire pipeline from data capture and geometric reconstruction through to neural rendering and generative material synthesis . Their technology is already being applied in real-world environments with global customers, solving complex challenges in 3D digitisation and visual computing.

Their team consists of highly specialised researchers and engineers , working in a collaborative, low-hierarchy environment where technical depth and innovation are at the core.

As a 3D Machine Learning Engineer , you will join the core team working across multiple domains. This is a flexible, high-impact role designed for individuals who are deeply skilled in at least one area (vision, rendering, or ML) and eager to expand across the full 3D stack.

Rather than a rigid scope, your focus will align with your strengths while contributing to a broader system that bridges research and real-world deployment .

Key Responsibilities

• Design and develop advanced 3D machine learning and vision systems across the full pipeline
• Build and optimize geometric reconstruction pipelines (e.g., multi-view systems, SfM, mesh processing)
• Develop learning-based inverse rendering methods for recovering geometry and materials from images
• Contribute to neural rendering and generative 3D systems , including diffusion-based approaches
• Design and implement material models and physically-based representations (BRDFs)
• Integrate classical computer vision techniques with modern ML approaches into production-ready systems
• Prototype rapidly while maintaining clean, scalable, and production-quality code
• Collaborate closely with researchers and engineers to bring research ideas into deployed systems

Required Experience & Skills

• Master’s or PhD in Computer Science, Computer Vision, Computer Graphics, Robotics , or a related field
• Master's and minimum 2+ years in industry is required, or a recently completed PhD with some hands-on experience.
• At least one of the following: 3D computer vision and reconstruction, Rendering / inverse rendering, Machine learning for 3D or generative models
• Strong understanding of at least one core area: Multi-view geometry and reconstruction, Physically-based rendering, Generative models applied to 3D (e.g., diffusion, latent representations)
• Strong programming skills in Python and/or C++

Why Apply?

• Work across the entire 3D AI stack , from geometry to generative models
• Join a research-driven team with real production impact
• Collaborate with highly technical experts in a low-hierarchy environment
• Opportunity to attend leading conferences such as SIGGRAPH and CVPR
• Competitive compensation, flexibility, and strong growth potential

Recruiter's Note

We are looking for engineers who have built and deeply understood 3D systems, not just used off-the-shelf tools. If you’ve worked on core geometry, rendering, or generative 3D problems and enjoy solving technically challenging problems across domains, this is an exceptional opportunity.

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