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Machine Learning Researcher - Remote

Posted 21 weeks ago
Software Development
Full Time
United Kingdom

Overview

We are seeking a Machine Learning Researcher to join our team and help advance the state of the art in human-centric generative video models. Your work will focus on improving expression control, lip synchronisation, and overall realism in models such as WAN and Hunyuan.

In Short

  • Research and develop cutting-edge generative video models.
  • Focus on controllable facial expression and audio-driven lip synchronisation.
  • Fine-tune video diffusion models for better visual realism.
  • Design robust training pipelines for talking-head synthesis.
  • Collaborate with product and creative teams.
  • Stay current with the latest research in video generation.

Requirements

  • Strong background in machine learning and deep learning.
  • Hands-on experience with video synthesis tasks.
  • Proficient in Python and PyTorch.
  • Experience training large models with high-resolution datasets.
  • Deep understanding of architectures like transformers and GANs.
  • Proven ability to work independently.
  • Strong problem-solving skills in a remote-first environment.

Benefits

  • Opportunity to work on cutting-edge technology.
  • Collaborate with a world-class team.
  • Remote work flexibility.
  • Engage in innovative research and development.
BRAHMA logo

BRAHMA

BRAHMA is an innovative technology company focused on advancing the field of generative video models with a strong emphasis on human-centric applications. The company is dedicated to pushing the boundaries of neural rendering and avatar animation, creating lifelike talking-head videos that can be generated from text, audio, or motion signals. With a world-class team of researchers and engineers, BRAHMA is committed to developing cutting-edge solutions that enhance expression control, lip synchronization, and overall realism in video synthesis. The company operates in a remote-first environment, hiring talent across the EMEA region to collaborate on groundbreaking projects in machine learning and deep learning.

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