Applied Researcher - All Levels

๐Ÿข Miris ยท all Miris jobs
๐Ÿ“ Worldwide
๐Ÿ’ฐ USD 89,155 - 287,488 / annual
๐Ÿ“… Posted 2026-08-23 ยท via Himalayas
๐Ÿท Applied-Research,Computer-Graphics,3D-Immersive-Technology,AR-VR-Development,Machine-Learning,Applied-Researcher,Applied-Research-Scientist,Applied-Scientist,Senior-Applied-Scientist,Applied-ML-Researcher,Applied-Data-Scientist,Applied-AI-Scientist
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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

Target Base Salary Range

$89,155โ€”$287,488 USD

About Us:

Miris is a cutting-edge technology company building the future of 3D content delivery at global scale. Our mission is to empower creators and developers to deliver high-fidelity, photorealistic 3D experiences to billions of users instantly, seamlessly, and across all major platforms and devices. Backed by patented innovations, Miris leverages state-of-the-art advancements in neural rendering, including radiance fields, Gaussian splatting, and new AI-assisted graphics approaches. Our platform unlocks the ability to deliver complex digital scenes, anywhere and anytime, without making compromises on speed, cost, and scale.

Compensation

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