Responsibilities

• Design, build, and deploy machine learning models for video understanding and multimodal systems
• Develop capabilities for creative workflows, including VFX, storyboarding, and color grading
• Work across the full ML lifecycle: data processing, model development, evaluation, and production deployment
• Improve model quality using fine-tuning, prompt-based methods, and modern vision/language models
• Collaborate with engineering, product, and creative partners to integrate ML into production pipelines and user workflows
• Contribute to scalable systems for processing and understanding large volumes of video content
• Prototype quickly while also building robust, production-ready systems

Requirements

• 4+ years of experience in machine learning, with a focus on computer vision or video
• Master’s or PhD in Computer Science, Machine Learning, or a related field
• Strong experience with deep learning frameworks (PyTorch and/or TensorFlow)
• Strong programming skills (Python) and solid computer science fundamentals
• Experience with video models (e.g., segmentation, tracking, scene understanding, temporal modeling)
• Familiarity with multimodal systems (vision + language, embeddings, retrieval)
• Familiarity with state-of-the-art image, video, and language models and their application to multimodal tasks
• Ability to implement and adapt algorithms from recent research in computer vision (especially video)
• Exposure to generative or enhancement techniques (e.g., diffusion, inpainting, color/style transfer)
• Experience building end-to-end ML pipelines (data, training, evaluation, deployment)

Benefits

• health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.