Full-Time AI/SLAM Architect
United Living Group is hiring a remote Full-Time AI/SLAM Architect. The career level for this job opening is Experienced and is accepting Leeds, United Kingdom based applicants remotely. Read complete job description before applying.
United Living Group
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We are seeking a versatile and skilled AI/SLAM Architect. The ideal candidate will own applying advanced machine learning techniques, computer vision, and hardware technologies to create and optimize SLAM algorithms. This includes enhancing and extending image recognition/training pipelines, visual positioning systems, and liaising with the wider technical team on their implementation into real-world applications. This is a hands-on role.
Key Responsibilities
- AI/ML/SLAM Algorithm Development
- Enhance our Prototype: Enhance and extend our functional prototype into a robust SLAM system ready for deployment.
- Develop machine learning models: Develop solutions to enhance SLAM accuracy, robustness, and efficiency.
- Sensor Data Processing: Process data from sensors (WebXR, LiDAR, cameras, IMUs, GPS) for real-time mapping and localization.
- Determine appropriate technology/technique usage: Implement and improve 2D, 3D, and visual SLAM techniques.
- Deep Learning: Experiment with deep learning frameworks to improve SLAM performance in dynamic environments.
- Identify and resolve defects: Work closely with the business to identify, to identify and optimize our solutions.
- Ensure security by design: Integrate security/privacy best practices into the learning process.
- Optimize for performance and scalability: Design and implement scalable solutions with high performance. Use profiling tools to identify and optimize performance bottlenecks.
- Agile Development
- Agile Focus: Contribute to an Agile development environment.
Qualifications
- Education: Bachelor's degree in Computer Science, AI/ML, Maths or related field (Master's/Ph.D. preferred)
- Experience: Proven experience in developing and deploying SLAM algorithms, strong understanding of machine learning, computer vision, and sensor fusion, experience on mission-critical or SaaS services.
- Technical Skills: Proficiency with Python, Pipelines, Cloud Computing, CLI fundamentals, GPU programming, and real-time performance optimization. Experience with mobile device hardware, camera capabilities, and geo services.
- Soft Skills: Strong problem-solving, communication, and collaboration skills. Ability to work in a fast-paced environment, manage multiple priorities, and pay attention to detail.