Applied Research Scientist, Hedra

$160-220k

+ Equity

Python

Tensorflow

PyTorch

Junior, Mid and Senior level

New York

San Francisco Bay Area

Creation lab building foundation models for next-gen human storytelling

Open for applications

Creation lab building foundation models for next-gen human storytelling

1-20 employees

B2BContentDigital MediaSaaS

Open for applications

$160-220k

+ Equity

Python

Tensorflow

PyTorch

Junior, Mid and Senior level

New York

San Francisco Bay Area

1-20 employees

B2BContentDigital MediaSaaS

Company mission

To build foundation models into products that power the next generation of human storytelling.

Job

Company

Role

Who you are

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

What the job involves

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
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

Our take

The relationship between machine learning and online content has grown closer in recent years, and Hedra is a video content platform that is pushing this symbiosis into new territory. Describing itself as a video foundation mode company, Hedra is building an online creation studio that helps users generate dialogue, audio and video from words.

As a digital presence automation tool, Hedra is moving beyond the likes of DallE and generative AI video content into more nuanced territory. Its most recent product is Character1, a video foundation model for longer-form video generation focusing on customizable AI-generated video characters.

Since Character1’s release in June 2024, more than 1.6 million videos have been generated via the platform, demonstrating the need for its August seed funding round. The $10 million investment will be channelled into developing new technology like a multimodal studio and workflow tool to complement its foundation model.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

May 2025

$32m

SERIES A

Aug 2024

$10m

SEED

Total funding: $42m

Company benefits

Equity
401k (no match)
Healthcare (Silver PPO Medical, Vision, Dental)
Gym access (at our office)

Company HQ

SoMa, San Francisco, CA

Leadership

Michael Lingelbach

(Founder & CEO)

Previously Regina Casper Graduate Research Fellow at Stanford University, was an Intern at NVIDIA, Postbaccaulaureate researcher at Salk Institute for Biological Studies and a Scholar at the Janelia Research Campus.

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