Research Scientist, Long Video Generation
Research Scientist, Long Video Generation
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1 Vacancy
Job Description
About Hedra
Hedra is a pioneering generative media company backed by top investors at Index A16Z and Abstract Ventures. Were 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 its the next evolution of AI-driven content creation.
At Hedra were a team of hard-working passionate individuals seeking to fundamentally change content creation and build a generational company together. We value startup energy initiative and the ability to turn bold ideas into real products. Our team is fully in-person in SF/NY with a shared love for whiteboard problem-solving.
Overview
We are seeking a highly motivated Research Scientist to push the limits of long-form video generation with a focus on auto-regressive modeling causal attention mechanisms and efficient sequence handling. The ideal candidate will have a deep understanding of temporal modeling in generative AI and experience building scalable architectures for multi-minute coherent video outputs.
Responsibilities
Design and implement long video generation architectures with emphasis on auto-regressive generation causal attention and memory-efficient transformer designs.
Develop methods for maintaining temporal and semantic coherence over long time horizons.
Work closely with engineering to integrate research into production-grade pipelines.
Stay on top of recent advances in long-context transformers sequence compression and scalable video generation.
Present results internally and externally including possible top-tier conference submissions.
Qualifications
PhD or strong research/industry experience in Computer Science Machine Learning or related fields with a focus on sequence modeling or generative models.
Deep understanding of transformer architectures attention mechanisms and auto-regressive modeling.
Experience with long-context processing and memory-efficient computation.
Proficiency in Python and PyTorch; ability to rapidly prototype and iterate on new architectures.
A record of impactful research or large-scale system deployments.
Benefits
Competitive compensation equity
401k (no match)
Healthcare (Silver PPO Medical Vision Dental)
Lunch and snacks at the office
We encourage you to apply even if you dont meet every requirement we value curiosity creativity and the drive to solve hard problems.
Employment Type
Full-Time
