Machine Learning Engineer, Hedra
Data
+ Equity
AI lab empowering creation with AI
Job no longer available
AI lab empowering creation with AI
21-100 employees
Job no longer available
+ Equity
21-100 employees
Company mission
To build foundation models into products that power the next generation of human storytelling.
Role
Who you are
- Bachelor’s degree in Computer Science, Information Technology, or a related field
- Experience with cloud computing platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, essential for managing large-scale ML workloads
- Understands the importance of orchestration tools in ML data workflows, and values engineering processes and version control (CI/CD)
- Experience designing, building, and managing large-scale data pipelines for ML; experience with video data is a huge plus
- Understanding of distributed training techniques and how to scale models across multi-node clusters aligning with video generation needs
- Strong problem-solving and communication skills, given the need to collaborate with diverse teams
- We are looking for an ML Engineer with 3+ YOE designing, building, and maintaining data pipelines at scale
- The ideal candidate has diverse experience managing data from ingest and processing through storage and training
What the job involves
- This role is vital for ensuring the computational backbone supports the company’s ML efforts, focusing on deployment and scalability
- Lead the efforts to design, implement, and maintain scalable solutions for data warehousing and processing. Capable of providing the right solutions for the evolving needs of our research teams
- Manage and optimize the performance of our computing clusters or cloud instances, such as AWS or Google Cloud, to support distributed data processing at scale
- Design data snapshots, ETL pipelines, and storage solutions with a strong focus on data shape and layout to ensure the flexibility required for training
- Collaborate across research teams to understand their data needs and provide appropriate solutions, facilitating seamless model training
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. Working as a content engine, Hedra's online creation studio 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. For example, its product known as Character is a video foundation model for longer-form video generation focusing on customizable AI-generated video characters.
Between the version one release of Character in June 2024 and the company's fundraise that same August, more than 1.6 million videos had already been generated via the platform. This demonstrates the demand that exists for Hedra's offering. A new fundraise in 2025, which reportedly takes the company’s valuation to $200 million, will support the advancement of the quality and controllability of its models.
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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