Software Engineer, Applied Machine Learning
fal · San Francisco
Infrastructureonsitemid-level$180k–$230k
At a glance
Highlights
- Extend SOTA image, video, audio and 3D models with new capabilities.
- Build scalable generative media APIs used by top retailers and studios.
- Own the model layer powering next-gen generative media platform.
What they offer
- Health, dental, and vision insurance (US)
- Equity + comprehensive benefits package
- Regular team events and offsites
- Learning and growth opportunities
Ideal candidate
Hands-on, production-focused ML engineer who loves turning cutting-edge generative research into reliable products. Thrives in fast-paced startups and collaborating directly with customers.
Requirements
- 3+ years as Applied ML Engineer with 1-2 years in generative media or computer vision
- Expert-level proficiency in Python and PyTorch
- Deep practical understanding of diffusion and flow-based generative models
- Hands-on experience with Hugging Face, Diffusers and open-weight ecosystems
- Experience with training-free extensions and post-training/fine-tuning of generative models
- Ability to build, deploy and maintain scalable, reliable ML models in production
- Track record shipping ambitious ML ideas from concept to production
Lab profile
About fal
Generative media infrastructure platform for high-performance inference, orchestration, and model access at scale.
What they build
- Generative media platform
- High-performance inference APIs
- Model orchestration
Known for
- High-performance inference at scale
- Unified inference, orchestration and observability
- Idea-to-production for developers and enterprises
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