DeoVR seeks ML Computer Vision Engineer for immersive video advancements
DeoVR, through Infomediji, is hiring a Senior Machine Learning Engineer with computer vision expertise to develop next-generation spatial media and interactive video experiences. This role focuses on advancing algorithms for video-to-haptic generation, metadata extraction, matting, and volumetric video for DeoVR's immersive streaming technology.
Key Takeaways
- DeoVR is expanding its ML capabilities through Infomediji with a senior-level computer vision role.
- The position emphasizes research and development in algorithms for video-to-haptic generation, metadata extraction, and matting.
- Volumetric video generation and streaming is a key area of focus for the new engineer.
- The ML tech stack includes Python, C++, PyTorch, MLflow, and OpenCV among others.
- The role is remote and contract-based, requiring over five years of ML experience with strong computer vision specialization.
Why It Matters
DeoVR's investment in advanced ML and computer vision signals a push towards more interactive and physically responsive immersive video experiences. This move could accelerate the development of personalized VR content and new monetization avenues within spatial media. Watch for new features integrating haptics or advanced video manipulation, indicating the practical applications of this specialized engineering talent.
Additional Context
DeoVR has consistently focused on enhancing its immersive video delivery technology. In March 2025, the company highlighted advancements in AR Passthrough videos, including an 'AI Passthrough' feature that uses AI to remove backgrounds from VR scenes, blending them with real-world surroundings. This builds on earlier efforts to simplify passthrough content creation, with a tutorial published in March 2025 detailing how creators can utilize green screens and proper lighting. The company also announced the launch of "DeoVR Hyper" in December 2025, a new application featuring a rebuilt playback engine for next-generation spatial computing, focusing on near-zero latency for 8K content. In April 2025, DeoVR adopted the AV1 video format as its default codec, citing a 25% faster loading time, 2-5% faster seeking, and up to 4x fewer stalls for high-resolution VR content, while also supporting 10-bit color and higher bitrates as of March 2026. These developments, documented on the DeoVR blog, collectively indicate a strategic drive to improve both the technical quality and interactive depth of its VR streaming platform, with a clear emphasis on leveraging AI and advanced video processing for a more integrated immersive experience.
Read full article at infomediji.com
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