Research Scientist, Long Video Generation

Posted 6 Days Ago
Be an Early Applicant
San Francisco, CA
In-Office
Senior level
Consumer Web • Digital Media • Enterprise Web • Marketing Tech • News + Entertainment • Software • Generative AI
A generative media company building the AI-native creation platform around the world's first omnimodal foundation model.
The Role
The role involves designing long video generation architectures, developing methods for coherence, and integrating research into production. Strong skills in temporal modeling and generative AI are required.
Summary Generated by Built In

About Hedra

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.

At Hedra, we’re 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 don't meet every requirement — we value curiosity, creativity, and the drive to solve hard problems.

Top Skills

Python
PyTorch
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The Company
HQ: San Francisco, CA
14 Employees
Year Founded: 2023

What We Do

Hedra is an AI native platform for multimodal creation. The platform is built around their own cutting-edge proprietary video model, Character-3, which is the first multimodal model in production. Alongside Character-3, the platform also brings other leading foundation models into one ecosystem spanning generative images, video, and audio. Prosumer and enterprise users leverage Hedra to generate content ranging from viral social media to branded content marketing.

Why Work With Us

We're an early-stage team that moves very fast and is building at the leading edge of AI/Media. Every employee takes on a lot of ownership and has an opportunity to learn and grow rapidly.

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Hedra Offices

OnSite Workspace

Hedra's main office is in San Francisco and secondary hub is in New York.

Typical time on-site: None
HQHQ
New York, New York
Learn more

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