Machine Learning Engineer, Hedra

Salary not provided

+ Equity

AWS

GCP

Python

Bash

Azure

Kubeflow

Junior, Mid and Senior level

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

Salary not provided

+ Equity

AWS

GCP

Python

Bash

Azure

Kubeflow

Junior, Mid and Senior 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

The ideal candidate will have experience with cloud computing platforms and tools for managing ML workloads at scale, supporting our 3DVAE and video diffusion models
Bachelor’s degree in Computer Science, Information Technology, or a related field, with a focus on system administration
Experience with cloud computing platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, essential for managing large-scale ML workloads
Knowledge of containerization tools like Dockerfile and orchestration tools like Kubeflow, crucial for deploying models at scale
Understanding of distributed training techniques and how to scale models across multiple GPUs or machines, aligning with video generation needs
Proficiency in scripting languages like Python or Bash for automation tasks, facilitating infrastructure management
Strong problem-solving and communication skills, given the need to collaborate with diverse teams

What the job involves

We are looking for an ML Engineer with expertise in high-performance computing systems to manage and optimize our computational infrastructure for training and deploying our machine learning models.
Design and implement scalable computing solutions for training and deploying ML models, ensuring infrastructure can handle large video datasets
Manage and optimize the performance of our computing clusters or cloud instances, such as AWS or Google Cloud, to support distributed training
Ensure that our infrastructure can handle the resource-intensive tasks associated with training large generative models
Monitor system performance and implement improvements to maximize efficiency, using tools like Kubeflow for orchestration
Collaborate with the team to understand their computational needs and provide appropriate solutions, facilitating seamless model deployment
This role is vital for ensuring the computational backbone supports the company’s ML efforts, focusing on deployment and scalability

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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