Research Scientist
Hedra provided pay range
This range is provided by Hedra. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Hedra is developing a cutting-edge avatar video generation model with flexible multi-modal control. We’re looking for experienced researchers in Generative AI, especially with a focus on image and video generation. Join our team to work on groundbreaking projects that push the limits of video generation technology and multi-modal control.
Responsibilities:
- Model Training: Develop and train generative AI models for video, image, text, and audio, focusing on creating high-quality, controllable avatars.
- Conditioning Methods: Implement and enhance techniques to add controllability to large models, improving their flexibility and performance.
- Distributed Training: Manage training processes across hundreds or thousands of GPUs using tools like Ray or PyTorch Distributed, ensuring efficient scaling and handling of large datasets.
- Research Experience:
- Proven expertise in training generative models, especially for video and image generation.
- Skilled in applying conditioning methods to improve model control.
- Experience with large-scale distributed training on extensive GPU clusters.
- Technical Skills:
- Proficient in deep learning frameworks such as PyTorch, Jax, or similar.
- Knowledgeable in advanced model training techniques and data management.
- Educational Background:
- Strong research track record with publications in top-tier conferences or journals.
- Additional Information:
- Location: Primarily onsite; remote work may be considered for exceptional candidates.
- Resources: Access to advanced computing resources and collaboration with top cloud providers.
Benefits:
- Competitive compensation and equity.
- 401k (no match).
- Healthcare (Silver PPO Medical, Vision, Dental).
- Gym access (at our office).
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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Other -
Industries
Media Production
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