Applied Researcher
New
M
Miris3D Content Delivery
RemoteFull-Time
Salary$89,155 — $287,488 USD
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Job Details
- Required Skills
- PythonMachine LearningC++
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
- 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
- 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
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
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