Job Description
We are seeking a versatile and skilled AI/SLAM (Simultaneous Localization and Mapping) Architect. The ideal candidate will be responsible for, and take ownership of applying advanced machine learning techniques, computer vision, and hardware technologies to create and optimize SLAM algorithms. More specifically it will be to enhance, and extend and implement image recognition/training pipelines, visual positioning systems and to liaise with the wider technical team regarding their implementation into a real-world application.
This is a hands-on role.
Key Responsibilities
AI/ML/SLAM Algorithm Development:
o Enhance our Prototype: Enhance and extend our functional prototype into a robust SLAM system ready for deployment in real-world applications.
o Develop machine learning models: Develop solutions to enhance our SLAM accuracy, robustness, and efficiency.
o Sensor Data Processing: Work with sensors such as WebXR, LiDAR, cameras, IMUs, and GPS to process data and enable real-time mapping and localization.
o Determine appropriate technology/technique usage: Implement and improve 2D, 3D, and visual SLAM techniques.
o Deep Learning: Experiment with deep learning frameworks to improve SLAM performance in dynamic and unstructured environments.
o Identify and resolve defects: Work closely with the business to identify, to identify and optimise our solutions.
o Ensure security by design: Integrate security/privacy best practices into the learning process to ensure that approaches are secure and responsible from the ground up.
o Optimise for performance and scalability: Design and implement solutions that can dynamically scale to meet varying demands and ensure high performance and availability. Use profiling tools to identify performance bottlenecks and optimise code accordingly.
Agile Development:
o Agile Focus: Contribute to an Agile development environment, participating in sprint planning, daily stand-ups, and retrospectives. Work collaboratively to refine requirements, estimate tasks, and deliver high-quality solutions efficiently.
Qualifications
· Education:
o Bachelor’s degree in Computer Science, AI/ML, Maths or related field (Master’s or Ph.D. preferred).
· Experience:
o Proven experience in developing and deploying SLAM algorithms in a relevant industry
o Strong understanding of machine learning, computer vision, and sensor fusion techniques.
o Experience working on mission-critical or SaaS services
· Technical Skills:
o Appropriate technological experience with Python, Pipelines, Cloud Computing and CLI fundamentals
o Experience with GPU programming and optimizing for real-time performance.
o Experience of mobile device hardware capabilities, specifically related to the camera(s) and geo services.
· Soft Skills:
o Excellent problem-solving and analytical skills.
o Strong communication and collaboration abilities.
o Ability to work in a fast-paced, dynamic environment and manage multiple priorities.
o Attention to detail and a proactive approach to identifying and addressing issues.
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