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Machine Learning Engineer

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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.

Note: At Hedra, we’re a team of hard-working, passionate individuals seeking to fundamentally change content and build a generational company together. You should have start-up experience and be a self-starter that is driven to build impactful products that change the status quo. You must be willing to work in-person in either NYC or SF.

Overview:

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. 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.

Responsibilities:

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.

Qualifications:

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.

This role is vital for ensuring the computational backbone supports the company’s ML efforts, focusing on deployment and scalability.

Benefits:

Competitive compensation and 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 fully meet all the listed requirements; we value potential and diverse perspectives, and your unique skills could be a great asset to our team.

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Average salary estimate

$125000 / YEARLY (est.)

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$100000K

$150000K

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What You Should Know About Machine Learning Engineer, Hedra

Hedra is on the lookout for a talented Machine Learning Engineer to join our innovative team in sunny San Francisco! At Hedra, we’re not just another tech company; we are pioneers in the generative media landscape, backed by top-tier investors like Index, A16Z, and Abstract Ventures. Our flagship project, Hedra Studio, is reshaping the way digital content is created by leveraging the cutting-edge Character-3 foundation model. As a Machine Learning Engineer, you'll play a crucial role in optimizing our computational infrastructure to train and deploy these groundbreaking models. If you have a passion for high-performance computing and thrive in a startup environment, we want to hear from you! You will be responsible for designing scalable computing solutions that can handle large video datasets and managing cloud platforms like AWS or Google Cloud. Your expertise with containerization tools and distributed training techniques will be invaluable in providing seamless model deployment. We’re looking for self-starters who understand the importance of collaboration while bringing innovative ideas to life. Come help us revolutionize content creation and be part of a team that's not just changing the tech world, but the way we experience digital media!

Frequently Asked Questions (FAQs) for Machine Learning Engineer Role at Hedra

What are the responsibilities of a Machine Learning Engineer at Hedra?

As a Machine Learning Engineer at Hedra, your primary responsibilities include designing and implementing scalable solutions for training and deploying our ML models, managing the performance of computing clusters or cloud instances, and ensuring that our infrastructure can handle resource-intensive tasks. You'll collaborate closely with team members to understand their computational needs and optimize existing systems for efficiency.