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Greenhouse · 2 months ago

Applied Researcher - All Levels

United States

Full-time

Remote

Entry, Mid, Senior Level

$89K/yr - $287K/yr

Miris is a cutting-edge technology company building the future of 3D content delivery at global scale. They are seeking exceptional and outcome-focused Applied Researchers to join their remote R&D team, focusing on Gaussian splatting and immersive streaming experiences for low-powered mobile devices.

CommunitiesFinancial ServicesNon Profit

Comp. & Benefits

Responsibilities

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

Qualification

Applied Research3D Rendering PipelinesGaussian SplattingPython ProgrammingC++ ProgrammingPerformance OptimizationMachine Learning for GraphicsPhotogrammetryProblem-Solving SkillsCommunication SkillsCollaboration Skills

Required

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

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