Senior Machine Learning Engineer Video AI (Vision & Creative Systems)

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Company Overview

A leading global entertainment and streaming organization is expanding its AI and machine learning capabilities to support next-generation video experiences and creative workflows. Its teams combine advanced technology, content expertise, and innovative storytelling to develop solutions that serve audiences across multiple markets worldwide.

The organization is seeking a Senior Machine Learning Engineer Video AI (Vision & Creative Systems) to develop and deploy advanced machine learning systems for video understanding and creative applications. The role will combine computer vision, multimodal learning, and machine learning to create scalable solutions that support content intelligence and creative production workflows.

The successful candidate will work across the full machine learning lifecycle, from data processing and model development through evaluation and production deployment. The position will involve collaborating closely with engineering, product, and creative teams to bring research-driven machine learning capabilities into real-world production systems.

What the Role Involves

The role focuses on building next-generation AI systems for video, covering large-scale video understanding and creative studio workflows. Machine learning, computer vision, and multimodal technologies will be applied to capabilities such as scene understanding, metadata generation, visual effects, storyboarding, and color enhancement.

The successful candidate will help move machine learning solutions from research concepts into scalable production systems used by technical, product, and creative teams. The position will contribute to systems designed to process and understand large volumes of video content while maintaining high levels of quality, reliability, and performance.

Key Responsibilities

• Design, build, and deploy machine learning models for video understanding and multimodal applications.
• Develop machine learning capabilities for creative workflows, including visual effects, storyboarding, and color grading.
• Manage the complete machine learning lifecycle, including data processing, model development, evaluation, and production deployment.
• Improve model performance through fine-tuning, prompt-based techniques, and modern vision and language models.
• Collaborate with engineering, product, and creative teams to integrate machine learning into production pipelines and user workflows.
• Contribute to scalable systems capable of processing and understanding large volumes of video content.
• Rapidly prototype new machine learning solutions while developing robust, production-ready systems.
• Translate emerging research and technologies into practical machine learning applications.
• Help develop innovative computer vision and multimodal solutions for content intelligence and creative production.

Required Qualifications

• 4+ years of professional experience in machine learning, with a focus on computer vision or video.
• Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
• Strong experience with deep learning frameworks such as PyTorch and/or TensorFlow.
• Strong programming skills in Python and solid computer science fundamentals.
• Experience working with video models, including segmentation, tracking, scene understanding, and temporal modeling.
• Familiarity with multimodal systems involving vision and language, embeddings, and retrieval.
• Familiarity with state-of-the-art image, video, and language models and their application to multimodal tasks.
• Ability to implement and adapt algorithms based on recent computer vision research, particularly in video.
• Experience with generative or enhancement techniques such as diffusion, inpainting, and color or style transfer.
• Experience building end-to-end machine learning pipelines covering data, training, evaluation, and deployment.
• Experience working with large-scale datasets and distributed systems.
• Ability to translate ambiguous or complex problems into clear technical solutions.
• Strong collaboration and communication skills when working with both technical and non-technical stakeholders.

Disclaimer

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