Applied Researcher

This is a fully remote position, open to applicants in United States.

📋 Description

• Perform applied research on innovative techniques for representing, compressing, and streaming animated 3D content, emphasizing Gaussian splatting and efficiency for low-power mobile AR/VR devices.

• Rapidly create proof-of-concept models and transition successful experiments into production-ready code to enhance our streaming pipeline.

• Design and assess algorithms for optimizing spatial data, compression, and adaptive streaming based on network conditions and device capabilities.

• Contribute to solutions for complex challenges such as animated content, real-time relighting, integrating content into an AR setting, and enabling open-world VR experiences.

• Collaborate closely with rendering engineers to define data formats, rendering pipelines, and performance targets tailored for mobile hardware.

• Work in partnership with cloud and content processing engineers to develop robust and efficient workflows for the automated processing of diverse user input data into our streaming format.

• Actively monitor and apply the latest research in computer graphics focused on novel view synthesis for mobile devices, including radiance fields, differentiable rendering, and photogrammetry.

• Effectively communicate research outcomes and technical concepts to both technical and non-technical stakeholders.

⛳️ Requirements

• MS or PhD in Computer Science, Electrical Engineering, or a related quantitative discipline, or equivalent practical experience.

• Demonstrated history of leading research that advances the state-of-the-art in areas such as radiance fields, photogrammetry, machine learning for graphics, or real-time rendering, with publications in prestigious conferences or journals in related fields (e.g., SIGGRAPH, CVPR, ICCV, ECCV, NeurIPS, ICML).

• Strong grasp of contemporary 3D rendering pipelines and concepts.

• Experience with radiance fields (e.g., Gaussian splatting, NeRF) and related innovative spatial representation techniques is highly preferred.

• Proficient programming skills in Python and C++.

• Experience in performance optimization and writing efficient code for resource-limited environments.

• Ability to swiftly comprehend and implement complex research papers.

• Proven capability to be outcome-oriented and deliver functional code that addresses real-world challenges.

• Strong analytical skills and the ability to excel in a dynamic, ambiguous startup environment.

• Excellent communication and collaboration abilities.

🏝️ Benefits

• Comprehensive benefits package including Medical, Dental, and Vision coverage.

• Flexible Spending Account for medical and dependent expenses.

• Flexible working hours.

• Generous Paid Time Off (PTO) program.

• 401K retirement plan.

• Technology stipend.

• Wellness stipend.

• Equity options.