AI Research Engineer - 3D Computer Vision
NewBe an early applicantAt Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. 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.
You will be part of a computer vision team, where you will be responsible for building computer vision models for object recognition and tracking, video understanding, scene matching, etc.
You will develop computer vision models and pipelines that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios.
You will also apply and develop techniques to adapt them to the target hardware and constraints associated to the downstream ML/AI tasks.
You will contribute to impactful projects and will collaborate with people across several teams and backgrounds.
- Hold an MSc in computer science, machine learning, robotics or related field with experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems
- Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally
- Are passionate about keeping up to date with current research and enjoy reimplementing / extending papers on state of the art Deep Learning-based approaches
- Possess 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
Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
Nice to have
- PhD in computer vision, machine learning, robotics, or related field and have authored publications in top-tier journals and conferences (eg, 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
