Applied Research Scientist
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. You must be willing to work in-person in either NYC or SF.
Overview:
We are looking for an Applied Research Scientist with a specialization in model fine-tuning to join our team. This role involves taking our pre-trained 3DVAE and video diffusion models and adapting them to specific tasks or datasets to achieve optimal performance. The ideal candidate will have a deep understanding of transfer learning and fine-tuning techniques in the context of generative models.
Responsibilities:
Fine-tune pre-trained 3DVAE and video diffusion models for specific applications, such as generating videos for particular AI agent tasks, ensuring adaptability to new datasets.
Develop and implement strategies for efficient model adaptation, such as data augmentation or transfer learning, to optimize performance.
Evaluate and compare the performance of different fine-tuned models, using metrics relevant to video generation.
Collaborate with the research team to understand the requirements and objectives of each fine-tuning task, ensuring alignment with business needs.
Document and communicate findings to the team and stakeholders, facilitating knowledge sharing and decision-making.
Qualifications:
PhD or Master’s degree in Computer Science, Machine Learning, or a related field, with a focus on model adaptation.
Strong background in deep learning, with a focus on generative models, and experience with model fine-tuning and transfer learning techniques, crucial for adapting models to new tasks.
Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow, essential for implementation.
Excellent problem-solving and analytical skills, given the need to evaluate and iterate on model performance.
Good communication and teamwork skills, as collaboration is key in a startup environment.
This role is focused on applying and refining existing models rather than developing new ones, ensuring practical deployment.
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.