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Infomediji

Develops immersive VR streaming technology

Senior Machine Learning Engineer - Computer Vision

Computer VisionUpdated on Nov 13
Full-timeTbilisi, GeorgiaNo salary listed

About the Job

Requirements

  • Proven experience developing and deploying Computer Vision models in production, with the ability to independently own complex machine-learning solutions.
  • Strong programming skills in Python and solid knowledge of data structures and algorithms.
  • Ability to build extendable, reproducible, and maintainable machine-learning pipelines.
  • Strong product mindset, with the ability to connect technical and model improvements to user needs and measurable product impact.
  • Proactive approach and ability to identify and initiate technical and product improvements.
  • Bachelor of Science in Computer Science, Mathematics, or a related field.
  • Must have experience with PyTorch, PyTorch Lightning, MLflow, and experiment tracking.
  • Camera intrinsics experience is highly required.

Responsibilities

  • Deploy and continuously improve production machine-learning pipelines for AI Mosaic.
  • Research and improve computer vision algorithms for automated content censoring and precise mosaic generation.
  • Improve algorithms for high-resolution video matting, segmentation, and form-fitting masking.
  • Develop spatiotemporal region-of-interest extraction and tracking algorithms to ensure accurate and consistent masking across video frames.
  • Develop video understanding, relevant region detection, and motion recognition algorithms where they can improve masking quality.
  • Improve model accuracy, processing speed, stability, and scalability for high-resolution videos and batch workloads.
  • Proactively identify technical and product improvement opportunities and drive them from initial hypothesis to production.
  • Work closely with product and engineering teams to translate user feedback and business needs into practical machine-learning solutions.

Desired Qualifications

  • Experience with inference optimization tools such as TensorRT, ONNX Runtime, or Triton Inference Server.
  • Experience with spatiotemporal tracking and continuity for video computer vision.
  • Domain knowledge in virtual reality and 3D geometry.
  • Experience with other technologies listed in the technical stack, including C++, Unity, DVC, OpenCV, Airflow, Qdrant, Redis, MongoDB, RabbitMQ, MMLib, Feast, PHP, C#, Go, WebGL, and Kubernetes.
  • Experience deploying on edge devices, including mobile devices and virtual reality headsets.
  • Experience creating shaders using GLSL, HLSL, or similar.
  • Master of Science in Computer Science, Mathematics, or a related field.

About the Company

Infomediji

Develops immersive VR streaming technology

Draft summary: Infomediji builds immersive VR streaming technology (including passthrough, VR180, and volumetric content) under DeoVR, enabling creators to deliver immersive experiences to millions. Its product works by providing advanced video streaming and VR capabilities in a headset, with features that optimize immersive media delivery and creator tooling. It differentiates itself through hands-on experimentation, a focus on practical features, and a broad, creator-centric roadmap to set standards in virtual reality. The goal is to empower creators and users to share high-quality, accessible immersive content at scale.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Ljubljana, Slovenia
Founded
2013

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