Research Engineer, Hedra

Salary not provided

+ Equity

Python

Tensorflow

PyTorch

Entry and Junior level

San Francisco Bay Area

Creation lab building foundation models for next-gen human storytelling

Be an early applicant

Creation lab building foundation models for next-gen human storytelling

1-20 employees

B2BContentDigital MediaSaaS

Be an early applicant

Salary not provided

+ Equity

Python

Tensorflow

PyTorch

Entry and Junior level

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

This role is ideal for recent graduates or professionals with some experience who are eager to learn and grow in the field of machine learning
Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field, suitable for early-career professionals
Some experience with machine learning projects, preferably in Python, reflecting hands-on skills
Familiarity with deep learning frameworks such as PyTorch or TensorFlow, essential for model implementation
Strong programming skills and a passion for learning new technologies, aligning with startup dynamism
Excellent teamwork and communication skills, given the collaborative nature of the role
A willingness to take on new challenges and learn from them, ideal for a junior position

What the job involves

We are looking for an ML Engineer to join our team and work on the development and implementation of our machine learning models, with a focus on data processing and model testing
This role focuses on hands-on implementation, with a data focus, supporting the team’s broader goals
Implement and test machine learning models under the guidance of senior team members, focusing on 3DVAE and video diffusion models
Assist in data preparation and preprocessing for model training, handling video datasets effectively
Stay updated with the latest trends and technologies in machine learning, such as new diffusion model architectures, to contribute to innovation
Contribute to the development of new features and improvements in our models, supporting team efforts
Work collaboratively with the team to achieve project goals, fostering a learning environment

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 (1 round)

Aug 2024

$10m

SEED

Total funding: $10m

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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