The Opportunity:

Miris is seeking exceptional and outcome-focused Applied Researchers at all levels to join our friendly and fully remote R&D team. You will navigate the fast-moving Gaussian splatting/radiance field research to find and adapt existing techniques and identify where to push beyond the bleeding edge to deliver exceptional immersive streaming experiences to low-powered mobile devices.

This is an applied role; you will take ideas from the theoretical stage, through prototyping, and all the way to successful production rollout. You will work in a highly collaborative environment, closely partnering with our rendering engineers and cloud/content processing teams to build a seamless end-to-end system that transforms varied user inputs (photogrammetry, 3D models) into exceptional spatial experiences.

What You'll Do:

• Conduct applied research into novel methods for representing, compressing, and streaming animated 3D content, with a strong focus on Gaussian splatting and efficiency for low-power mobile AR/VR devices
• Quickly develop proof-of-concepts and transition successful experiments to production-ready code to advance our streaming pipeline
• Design and evaluate algorithms for spatial data optimization, compression, and adaptive streaming based on network conditions and device capabilities
• Contribute to solutions for challenging problems like animated content, real-time relighting, integrating content into an AR environment, and facilitating open-world VR experiences
• Work closely with rendering engineers to define data formats, rendering pipelines, and performance targets optimized for mobile hardware.
• Collaborate with cloud and content processing engineers to establish robust and efficient workflows for automated processing of diverse user input data into our streaming format
• Proactively follow and apply the latest computer graphics research related to novel view synthesis on mobile devices, such as radiance fields, differentiable rendering, and photogrammetry
• Clearly communicate research findings and technical concepts to both technical and non-technical stakeholders

What You'll Bring:

• MS or PhD in Computer Science, Electrical Engineering, or a related quantitative field, or equivalent practical experience
• Proven track record leading research which advances the state-of-the-art in areas such as radiance fields, photogrammetry, machine learning for graphics, or real-time rendering with publications in top-tier conferences or journals in related fields (e.g., SIGGRAPH, CVPR, ICCV, ECCV, NeurIPS, ICML)
• Strong understanding of modern 3D rendering pipelines and concepts
• Experience with radiance fields (e.g., Gaussian splatting, NeRF) and related novel spatial representation techniques is highly desirable.
• Excellent programming skills in Python and C++
• Experience with performance optimization and writing efficient code for resource-constrained environments
• Ability to quickly understand and implement complex research papers
• Demonstrated ability to be outcome-focused and deliver working code that solves real-world problems
• Strong problem-solving skills and the ability to thrive in a fast-paced, ambiguous startup environment
• Excellent communication and collaboration skills