Remote ML Researcher – Generative Video & Lip Sync

DNEG; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

DNEG is seeking a Machine Learning Researcher to advance generative video models with a focus on expression control and lip synchronisation. This role involves collaboration with top researchers to develop systems for lifelike video generation from diverse signals.

The successful candidate will have a strong background in machine learning, Python proficiency, and experience with video synthesis tasks. This position is remote-first, open to candidates across the EMEA region.

Qualifications

• Strong background in machine learning and deep learning, especially in generative video models.
• Hands-on experience with video synthesis tasks such as lip sync and avatar animation.
• Proficient in Python and PyTorch; familiar with video generation frameworks.

Responsibilities

• Research and develop generative video models focused on facial expression and lip synchronisation.
• Fine-tune video models like WAN and Hunyuan for visual realism.
• Design training pipelines for video/audio datasets tailored for talking-head synthesis.

Skills

Machine learning

Deep learning

Generative models

Python

PyTorch

Problem-solving

Education

PhD in Computer Vision, Machine Learning, or related field

Tools

MMPose

MediaPipe

DLIB

Job description

DNEG is seeking a Machine Learning Researcher to advance generative video models with a focus on expression control and lip synchronisation. This role involves collaboration with top researchers to develop systems for lifelike video generation from diverse signals.

The successful candidate will have a strong background in machine learning, Python proficiency, and experience with video synthesis tasks. This position is remote-first, open to candidates across the EMEA region.