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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.

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What You Should Know About Applied Research Scientist, Hedra

Join Hedra as an Applied Research Scientist in San Francisco, where we are revolutionizing content creation through innovative AI technology! At Hedra, we are passionate about building Hedra Studio, a multimodal creation platform that incorporates control, emotion, and creative intelligence, all powered by our groundbreaking Character-3 foundation model. As an Applied Research Scientist, you will specialize in model fine-tuning, working with our pre-trained 3DVAE and video diffusion models to adapt them for specific applications. We are looking for someone who thrives in a startup environment, with a strong grasp of transfer learning and fine-tuning techniques that will help us enhance video generation for our AI agents. Your role will involve collaborating closely with our research team to ensure our models meet business objectives, documenting findings, and refining our approaches to achieve optimal performance. We're not just after qualifications; we want a self-starter with a PhD or a Master’s degree in a related field who excels in Python and deep learning frameworks like PyTorch or TensorFlow. If you're excited about fine-tuning existing models and you want to make a real impact in the world of generative AI, Hedra is the place for you!

Frequently Asked Questions (FAQs) for Applied Research Scientist Role at Hedra
What are the main responsibilities of the Applied Research Scientist at Hedra?

As an Applied Research Scientist at Hedra, your key responsibilities will include fine-tuning our pre-trained 3DVAE and video diffusion models to optimize their performance for specific applications. You will also develop strategies for model adaptation, evaluate different model performance metrics relevant to video generation, and collaborate closely with the research team to align with business needs while documenting findings for knowledge sharing.

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What qualifications are required for the Applied Research Scientist position at Hedra?

You will need a PhD or Master’s degree in Computer Science, Machine Learning, or a related field, with a specific focus on model adaptation. A strong background in deep learning, particularly in generative models and experience with fine-tuning and transfer learning techniques is crucial. Additionally, proficiency in Python and deep learning frameworks like PyTorch or TensorFlow is necessary for implementation.

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What skills are essential for an Applied Research Scientist at Hedra?

The essential skills for an Applied Research Scientist at Hedra include excellent problem-solving and analytical skills for evaluating model performance, strong knowledge of fine-tuning and transfer learning techniques, and good communication and teamwork abilities to thrive in our collaborative startup environment.

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Is prior startup experience necessary for the Applied Research Scientist role at Hedra?

While prior startup experience is preferred, it’s not a strict requirement. At Hedra, we value self-starters who are driven to create impactful products that challenge the status quo, so if you possess a passion for innovation and a desire to work in a dynamic environment, we encourage you to apply.

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What benefits can an Applied Research Scientist expect at Hedra?

At Hedra, the benefits for an Applied Research Scientist include competitive compensation and equity, a 401k plan without matching, comprehensive healthcare options including Silver PPO Medical, Vision, and Dental, and complimentary lunches and snacks at the office to keep you fueled throughout the day.

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Common Interview Questions for Applied Research Scientist
Can you explain how you approach model fine-tuning?

In your response, detail your understanding of the specific techniques you use for fine-tuning models, such as adjusting hyperparameters or implementing transfer learning. Provide examples from your past work that illustrate your approach and the outcomes you achieved.

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What experience do you have with deep learning frameworks like PyTorch or TensorFlow?

Discuss specific projects where you have utilized these frameworks, mentioning your role in implementation and any challenges you faced. Highlight how you navigate these tools effectively and any innovative solutions you developed.

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How do you evaluate the performance of your fine-tuned models?

Describe the metrics you prefer to use for evaluation, and explain why they are relevant to your task. Share your process for comparing different models and iterating based on performance insights.

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How do you handle conflicting requirements or feedback from team members?

Emphasize your communication skills and your method for resolving conflicts. Highlight your approach to integrating feedback constructively while ensuring alignment with project goals.

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Describe your experience with generative models.

Explain the type of generative models you have worked with, particularly in context with fine-tuning. Share projects or achievements that showcase your expertise and the impact of your contributions.

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Can you give an example of how you have used data augmentation in your projects?

Provide specific examples where you applied data augmentation techniques to enhance model robustness. Discuss the outcomes and improvements that resulted from your interventions.

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What strategies do you use for efficient model adaptation?

Discuss various strategies you’ve used to maximize the efficiency of model adaptations, such as leveraging pre-existing data or implementing novel techniques to streamline the process.

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How do you ensure your findings are clearly documented and communicated to stakeholders?

Highlight your documentation practices, the tools you use to facilitate clear communication, and how you tailor your findings for different stakeholders, ensuring alignment and understanding across teams.

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Have you ever had to change your research approach midway through a project? How did you handle it?

Share an instance where pivoting was necessary and how you adapted your methodology. Discuss the lessons learned and how this flexibility helped to meet project objectives.

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Why do you want to work as an Applied Research Scientist at Hedra?

Express your enthusiasm for working at Hedra, emphasizing the company’s mission to innovate in generative media. Share how your skills align with their goals and how you can contribute to their success.

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Full-time, on-site
DATE POSTED
March 13, 2025

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