AI Research Engineer

Videospan; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A dynamic R&D company in the United States is seeking an AI Research Engineer to push the boundaries of generative video. You will work on integrating advanced diffusion models into the video creation workflow, enabling users to generate content from simple prompts. The ideal candidate will hold an MS or PhD in relevant fields, possess strong Python skills, and have experience with generative models. Join a team focused on innovative video production enhancements.

Qualifications

• MS or PhD in Computer Science, AI, or related field (or equivalent experience).
• Strong proficiency in Python and deep learning frameworks.
• Experience with generative models (GANs, Diffusion Models, VAEs) and computer vision.

Responsibilities

• Research and implement novel approaches for consistent character and style generation in video.
• Fine-tune open-source models for specific video production tasks.
• Optimize model inference for production environments.

Skills

Proficiency in Python

Experience with deep learning frameworks

Knowledge of generative models

Ability to read and implement research papers

Education

MS or PhD in Computer Science, AI, or related field

Tools

PyTorch

TensorFlow

Job description

Join our R&D team to push the boundaries of generative video. As an AI Research Engineer, you will work on integrating state-of-the-art diffusion models and LLMs into our video creation workflow, enabling users to generate professional content from simple prompts.

What you'll do

• Research and implement novel approaches for consistent character and style generation in video.
• Fine-tune open-source models (Stable Diffusion, Llama, etc.) for specific video production tasks.
• Optimize model inference for production environments to ensure low latency and cost efficiency.
• Build automated pipelines for dataset curation and model evaluation.

Requirements

• MS or PhD in Computer Science, AI, or related field (or equivalent experience).
• Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
• Experience with generative models (GANs, Diffusion Models, VAEs) and computer vision.
• Ability to read and implement research papers.