Train, fine-tune, and deploy generative models across multiple modalities while optimizing model inference performance. Collaborate closely with product and engineering teams to implement AI features in the application.
About Hypernatural
Hypernatural is the best AI video creation tool to get you from idea to shareable video fast. We're building at the forefront of generative AI to make video creation and editing radically faster —
and more fun. We're a small team of builders backed by top Silicon Valley investors. Come join us to transform video creation and editing! The Opportunity
We’re hiring a Founding Machine Learning Engineer to help us push the boundaries of generative video. You’ll work across multiple modalities (text to imagery to video) and play a key role in training, deploying, and scaling models that power magical user experiences.
You’ll be hands-on with the full stack of model development and deployment, from fine-tuning diffusion models to optimizing inference in production. You should apply if you’ve shipped ML features that real users love and want to keep doing it in a fast-moving, product-focused environment.
What You’ll Do
- Train, fine-tune, and deploy generative models across multiple modalities
- Optimize model inference performance across diverse hardware and latency budgets
- Own infrastructure for serving ML models in production
- Work closely with product and engineering to bring AI features to life in the app
- Debug edge cases across the stack and sometimes jump into product code to unblock yourself
- Help shape the technical direction of ML at Hypernatural
What We’re Looking For
- You’ve trained and shipped real models to real users
- You’ve worked outside of big-company infra and know how to build scrappy, production-ready systems
- You’re comfortable with diffusion models (and have likely fine-tuned one)
- You have strong opinions about how to host and optimize large models in production
- You’re product-minded and willing to work cross-functionally to get things done
- You thrive in ambiguity and value fast feedback and iteration
🔹 This is a founding role — we’re looking for someone who wants to shape not just our stack, but how we work and what we build.
Our Tech Stack
- Backend: Django, Celery, Postgres, Redis
- Frontend: TypeScript, React, Remix, Tailwind
- Infra: CI/CD, automated deploys
- Process: Daily standups, weekly planning, frequent user testing
How We Work
- Remote-first (U.S. time zones)
- Monthly in-person team meetups (we cover travel)
- Fast, iterative product cycles
- Minimal process, maximum momentum
Compensation & Benefits
- Competitive salary and equity
- Health and dental insurance (you + family)
- 401(k) plan
- Flexible PTO
- Legal U.S. work authorization required
👋 Meet the Team
We’re a small, curious team with deep experience in AI, video, and design. We move fast, collaborate candidly, and obsess over building tools that feel like creative superpowers.
✨ Sound like you?
Let’s talk. Apply below.