Machine Learning Engineer

Job Description

We are looking for a highly skilled Machine Learning Engineer to join an innovative team in Chicago, Illinois. This long-term contract position offers the opportunity to work at the forefront of generative media and advanced AI technologies, focusing on scalable, high-performance systems for real-time video and media applications. The ideal candidate will have deep expertise in cutting-edge machine learning domains and a passion for bridging research with production-ready systems.

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.• 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.