Research Scientist

As a Research Scientist at Hedra, you will conduct cutting-edge research focused on video generation and AI agents, primarily using 3D Variational Auto-encoders and video diffusion models. You’ll collaborate with our talented team to transform your research into practical applications ready for deployment. Additionally, you’ll stay updated on industry advancements and present your findings to both teams and stakeholders, contributing to potential publications in leading conferences.

To be considered for the Research Scientist role at Hedra, you'll need a PhD in Computer Science, Machine Learning, or a related field, emphasizing generative models. You should also possess in-depth knowledge of deep learning, particularly VAEs and diffusion models, with experience in processing 3D data. Strong programming skills in Python and familiarity with frameworks like PyTorch or TensorFlow are also essential for success in this role.

The Research Scientist position at Hedra is unique due to our focus on developing new methodologies rather than just applying existing ones. You're not merely conducting research; you’re part of a pioneering team that is intent on pushing the boundaries of what’s possible in AI-driven content creation. Your contributions could directly influence the next wave of technological innovation in the media space.

In the Research Scientist role at Hedra, you will engage in research that challenges conventional approaches to video generation and AI. Specifically, you will explore innovative architectures and algorithms for 3D Variational Auto-encoders and take a deep dive into video diffusion models, positioning your research at the forefront of AI advancements.

Hedra provides a competitive compensation package that includes equity options, a 401k plan, and comprehensive healthcare benefits covering medical, vision, and dental. Additionally, enjoy a work environment that fosters creativity with free lunches and snacks. We're dedicated to nurturing our employees, ensuring you thrive both personally and professionally.

When answering this question, outline specific projects that highlight your hands-on experience with generative models. Discuss the methodologies you used, the challenges faced, and how your contributions improved outcomes. Providing concrete examples will demonstrate your expertise and problem-solving skills.

Show your commitment to continuous learning by explaining the resources you use—like academic journals, online courses, conferences, or workshops. Discuss any communities or groups you might engage with and how you integrate this knowledge into your work, particularly in relation to Hedra's innovative goals.

In your response, detail your practical experience with 3D Variational Auto-encoders, highlighting any projects or research where you implemented them. Discuss their applications, the challenges encountered, and the techniques you utilized to address those challenges, showcasing your technical proficiency.

Outline your process for translating theoretical research into real-world applications. This could include collaboration with cross-functional teams, testing models in varying environments, and iterating based on feedback. Emphasize your understanding of the importance of ensuring that research can scale and be deployed effectively.

Address this question by emphasizing the importance of constructive feedback and open communication in your research process. Share examples of how you have incorporated feedback into your work to enhance outcomes and maintain a positive working environment.

Discuss the ethical implications involved in AI and video generation, such as the potential for misinformation, privacy concerns, and biases in algorithmic outputs. Reflect on how you believe researchers should navigate these challenges, emphasizing your commitment to responsible AI development in your work.

When answering, describe the specific metrics and testing protocols you employ to validate and evaluate models, such as accuracy, precision, recall, or F1 scores. Provide examples of how these techniques helped refine your models and led to successful outcomes.

Be prepared to discuss a specific instance where your research led to a significant breakthrough or was acknowledged within the academic community. Highlight the results achieved and how this shaped your understanding and contributed to the advancement of the field.

Explain your project management strategy, including how you assess project urgency and impact. Talk about the tools and methodologies you use to stay organized and ensure that deadlines are met without compromising research quality.

Craft a strong response that highlights your alignment with Hedra’s mission and vision. Discuss how your skills and passions harmonize with the company’s focus on innovative AI development and generative media, making it an ideal place for you to contribute and grow.