Computer Vision Research Engineer – Automotive
Minor Hotels Europe and Americas
full-time
Posted on:
Location Type: Hybrid
Location: Diegem • Belgium
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About the role
- support in-house research in computer vision algorithms for privacy, taking existing methods and making them more robust for real-world applications
- improving systems based on user data performance, using your knowledge of the state of the art to propose and implement innovative solutions
- integrating algorithms and testing them in real-world environments to ensure practical applicability
- benchmarking and integrating foundation models into an agentic framework to enhance system capabilities
- adapting foundation models under tight compute and data constraints to optimize performance
- creating, tuning, and deploying deep neural networks in practical environments to solve complex vision challenges
Requirements
- PhD or master's degree with equivalent experience in computer science, engineering, physics, or mathematics
- Demonstrated research experience in computer vision, particularly in object, person, and face detection, foundation and open world models
- Experience with Parameter Efficient Fine Tuning methods such as LoRA, adapters, QLoRA
- Proficiency in Python, PyTorch and associated libraries for computer vision and deep learning
- Experience building Agentic AI systems using frameworks like LangGraph
- Strong Linux environment skills, Git and HPC experience, preferably AWS with Docker or OpenShift
Benefits
- flexible working hours
- hybrid way of working
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
computer visiondeep neural networksParameter Efficient Fine TuningLoRAadaptersQLoRAPythonPyTorchAgentic AI systemsLangGraph
Certifications
PhDmaster's degree