Rust Jobs for Rustaceans

Key Responsibilities:

• Develop and optimize diffusion-based generative AI models for video and image generation.
• Implement advanced media compression techniques using neural codecs and learned representations.
• Design and deploy scalable cloud-based machine learning workflows and infrastructures.
• Utilize computer vision for media engineering and real-time video processing applications.
• Prototype and integrate performance-critical AI systems using Python, PyTorch, TensorFlow, C++, or Rust.
• Collaborate with cross-functional teams to ensure alignment between research and production systems.
• Apply temporal modeling and keyframe reconstruction techniques in video processing workflows.
• Conduct inference optimization using tools such as TensorRT and quantization methods.
• Leverage advanced video processing frameworks like FFmpeg, GStreamer, and OpenCV.
• Maintain and monitor infrastructure using Docker, Kubernetes, and cloud technologies like Azure or AWS.

Requirements:

• Minimum of 5 years of experience in machine learning, computer vision, or related fields.
• Expertise in diffusion architectures, VAEs, GANs, and latent-space generative methods.
• Strong proficiency in Python, PyTorch, TensorFlow, and C++ or Rust for AI systems.
• Experience with cloud deployment and orchestration tools such as Docker and Kubernetes.
• Familiarity with advanced media compression techniques and video processing workflows.
• Background in real-time systems and shader programming is a plus.
• Knowledge of infrastructure monitoring tools like Prometheus or Grafana.
• Passion for AI-driven video technologies and virtual production applications.