AI Research Engineer - Computer Vision

About the role

You will be part of a computer vision team, responsible for building computer vision models for object recognition and tracking, video understanding, scene matching, etc. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and robustness against adversarial attacks.

What you'll do

• Develop computer vision models and pipelines that leverage and extend the latest state-of-the-art methods and architectures
• Design experiments and conduct benchmarks to evaluate and improve performance in real-world scenarios
• Apply and develop techniques to adapt models to target hardware and constraints associated with downstream ML/AI tasks
• Contribute to impactful projects and collaborate with people across several teams and backgrounds

What you'll need

• MSc in computer science, machine learning, robotics or related field with experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems
• Excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally
• Passion for keeping up to date with current research and enjoy reimplementing / extending papers on state of the art Deep Learning-based approaches
• Solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring

Nice to have

• PhD in computer vision, machine learning, robotics, or related field and authored publications in top-tier journals and conferences (e.g. CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS)
• Experience with object detection and categorisation, single and multi-object tracking, scene understanding and matching, 3D
• Designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources and led their end-to-end product delivery
• Experience with simulators, emulators, or synthetic data generators

What they offer

• Competitive salary and stock options (ESOP)
• Relocation support: up to €2,500 and 4 weeks temporary accommodation
• Learning: €500/£450 yearly allowance
• Health and wellness: gym membership and mental health support
• Enhanced parental leave: 22 weeks fully paid for primary caregivers and 6 weeks for secondary caregivers
• Regular company events and monthly social allowances