Video AI Engineer - Creative Systems & Vision

Jobtailor; California (MO); On-site; USD 140,000 - 210,000; Full time

Job summary

Jobtailor is seeking an experienced machine learning engineer to design, build, and deploy video understanding models within multimodal systems. You will contribute across data processing, model development, evaluation, and deployment, collaborating with engineering, product, and creative partners to integrate ML into production workflows.

The role emphasizes rapid prototyping and building robust, scalable systems for large video datasets, with a focus on state-of-the-art vision-language

Qualifications

• 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).
• Experience working with large-scale datasets and distributed systems.
• Ability to translate ambiguous problems into clear technical solutions.
• Strong collaboration and communication skills across technical and non-technical teams.

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

Skills

Python

PyTorch

TensorFlow

Computer Vision

Video Models

Multimodal

End-to-End ML

Distributed Systems

Data Pipelines

Collaboration

Education

Master's degree

PhD

Job description

Jobtailor is seeking an experienced machine learning engineer to design, build, and deploy video understanding models within multimodal systems. You will contribute across data processing, model development, evaluation, and deployment, collaborating with engineering, product, and creative partners to integrate ML into production workflows.

The role emphasizes rapid prototyping and building robust, scalable systems for large video datasets, with a focus on state-of-the-art vision-language