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Applied Researcher

Job not on LinkedIn

đŸ”„ 1 minute ago

đŸ‡ș🇾 United States – Remote

đŸ’” $89.2k - $287.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

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Logo of Miris

Miris

11 - 50 employees

☁ SaaS

đŸ„œ AR/VR

đŸ€ B2B

💰 $26M Seed Round - MIRIS on 2024-08

SaaS ‱ AR/VR ‱ B2B

Miris is a developer-focused SaaS platform that streams high-fidelity 3D content to any device without downloads or heavy infrastructure. The platform ingests OpenUSD assets (up to 10GB), uses AI-driven optimization to generate multi-resolution LODs, compress geometry and textures, and produce stream-ready assets that adapt quality per device and network. Miris delivers assets via a global CDN with predictive caching and provides a lightweight Web SDK (React/Vue/vanilla JS) integrating with three. js, enabling progressive, low-latency 3D streaming for web, mobile, and XR clients.

📋 Description

‱ 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

🎯 Requirements

‱ 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

đŸ–ïž Benefits

‱ Comprehensive benefits including Medical, Dental, and Vision ‱ Flexible Spending Account for medical and dependent expenses ‱ Flexible working hours ‱ Generous PTO Program ‱ 401K plan ‱ Technology stipend ‱ Wellness stipend ‱ Equity options

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