Senior Machine Learning Research Engineer

Harnham is a well-funded startup at the forefront of media generation and digital identity, building infrastructure for interactive, AI-powered experiences. They are seeking a Senior Machine Learning Research Engineer to develop cutting-edge machine learning systems that power character creation and digital assets.

Responsibilities:

• Design, train, and deploy ML models for high-quality image, video, and 3D asset generation
• Work across computer vision and graphics to generate meshes, textures, and motion
• Build and optimize generative models such as diffusion, GANs, and transformer-based architectures
• Integrate ML systems into user-facing creative tools and applications
• Collaborate with product, engineering, and creative teams to ship AI-powered features
• Manage ML infrastructure including datasets, experiments, and deployment pipelines
• Stay up to date with emerging research and apply new techniques to production systems

Requirements:

• Master's degree or higher in Computer Science, Machine Learning, Computer Vision, or related field
• 3+ years of experience in machine learning, computer vision, or computer graphics
• Strong Python skills and experience with frameworks such as PyTorch or TensorFlow
• Experience with generative models (diffusion, GANs, VAEs) and modern architectures (Transformers, ViTs, etc.)
• Solid understanding of 3D graphics, computational geometry, or related areas
• Experience working in cross-functional teams and communicating technical concepts clearly
• Experience with 3D reconstruction, tracking, or geometry analysis
• Familiarity with neural rendering techniques such as NeRF or Gaussian Splatting
• Experience scaling ML models and optimizing training pipelines
• Background in distributed training, data pipelines, and experiment tracking
• Publications or contributions to research or open-source projects