Research Scientist

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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

$200,000.00/yr - $300,000.00/yr

Hedra is a pioneering generative media company backed by top investors at Index, A16Z, and Abstract Ventures. We're building Hedra Studio, a multimodal creation platform capable of control, emotion, and creative intelligence.
At the core of Hedra Studio is our Character-3 foundation model, the first omnimodal model in production. Character-3 jointly reasons across image, text, and audio for more intelligent video generation — it’s the next evolution of AI-driven content creation.
Note: At Hedra, we’re a team of hard-working, passionate individuals seeking to fundamentally change content and build a generational company together. You should have start-up experience and be a self-starter that is driven to build impactful products that change the status quo. The Hedra team is fully in-person in SF/NY with a shared love of solving hard problems using whiteboards.
Overview:
We are seeking a highly motivated Research Scientist to join our team and drive innovation in video generation and AI agents using 3D Variational Auto-encoders (3DVAE) and video diffusion models. The ideal candidate will have a strong background in machine learning, particularly in generative models, and a passion for pushing the boundaries of what’s possible in AI.
Responsibilities:

• Conduct cutting-edge research in video generation and AI agents, focusing on developing new architectures and algorithms for 3DVAE and video diffusion models.
• Collaborate with the team to integrate research findings into practical applications, ensuring models are suitable for deployment.
• Stay up-to-date with the latest developments in the field, such as advancements in diffusion models for video, and identify opportunities for innovation.
• Present research findings and results to the team and stakeholders, potentially contributing to publications in top-tier conferences or journals.
  

Qualifications:

• PhD in Computer Science, Machine Learning, or a related field, with a focus on generative models.
• Extensive knowledge of deep learning, particularly VAEs and diffusion models, with experience in 3D data processing and representation,
• Proficiency in programming languages like Python, and familiarity with deep learning frameworks such as PyTorch or TensorFlow, essential for model development.
• Strong communication and collaboration skills, given the need to work with diverse teams and present complex research.
• A track record of publications in top-tier conferences or journals is a plus, reflecting research impact.
  

This role is critical for advancing the state of the art, with a focus on developing new methods rather than applying existing ones, aligning with the startup’s innovative goals.
Benefits:

• Competitive compensation and equity
• 401k (no match)
• Healthcare (Silver PPO Medical, Vision, Dental)
• Lunch and snacks at the office
  

We encourage you to apply even if you don't fully meet all the listed requirements; we value potential and diverse perspectives, and your unique skills could be a great asset to our team.
Compensation Range: $200K - $300K

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  Technology, Information and Internet

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