Applied Computer Vision Researcher

A Tier-1 global technology firm specializing in high-precision inspection for the semiconductor world is looking to disrupt the field with a new Applied Computer Vision Researcher. This company sits at the core of the global chip supply chain, developing the systems that make modern processors, memory, and sensors possible.

The Challenge: We aren’t looking for someone to just "run models." We need a researcher who can take a messy, unsolved vision problem from a research paper and turn it into a high-performance solution that works in a massive-scale production environment.

What You’ll Focus On:

• End-to-End Algorithmic Ownership: You will lead the R&D lifecycle for complex Computer Vision tasks (Detection, Classification, etc.) - from theoretical exploration to full integration.
• Pushing the Limits: Tackle "blue-ocean" problems where there is no existing playbook. You’ll be the one reviewing academic literature and inventing novel approaches.
• Model Engineering: Beyond the research, you'll define data architectures and optimize DL models for peak efficiency and accuracy.
• Cross-Functional Synergy: Collaborate with top-tier physicists and software engineers to embed your AI modules into sophisticated hardware systems.

Who You Are:

• Academic Foundation: PhD in Computer Science, Electrical Engineering, or Physics from a top-tier university.
• OR: M.Sc. with a minimum of 5 years of proven research experience in Deep Learning/Computer Vision.
• Vision Expert: Extensive hands-on experience in developing Deep Learning algorithms for vision-centric challenges.
• Technical Mastery: Strong Python skills and expertise in PyTorch.
• Innovation Mindset: You enjoy navigating ambiguity and have a track record of building complex algorithms from scratch.
• Collaborative: A strong communicator who thrives in team-based environments.

Added Value:

• Knowledge of C++ or C#.
• Experience with Git and working in a Windows-based R&D environment.