Software Engineer Applied Machine Learning
fal is an active generative-media AI platform for developers, providing optimized model APIs, serverless deployment, and GPU compute.
Maintainer signals as of 9/25/2026
Funding history
About fal
Founded in 2021 by Burkay Gur and Gorkem Yurtseven, fal provides infrastructure for production generative-media applications, including image, video, audio, 3D, and multimodal models.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will extend image, video, audio, and 3D generative models with new capabilities and modalities. You will fine-tune models, build fine-tuning APIs, and create reusable model and inference components. You will optimize inference for latency, throughput, and GPU utilization, deploy reliable generative-model APIs, resolve production issues, and work with customers on generative-media solutions.
Requirements
- 3+ years of Applied ML engineering experience
- 1–2 years of generative media or computer vision experience
- Expert Python and PyTorch proficiency
- Diffusion and flow-based generative model knowledge
- Hugging Face and Diffusers experience
- Production ML deployment experience
- Scalable, reliable, secure, safe, and performant system design ability
Responsibilities
- Extend generative models with new capabilities and modalities
- Develop model conditioning, generation, editing, and fine-tuning approaches
- Build and maintain customer-facing fine-tuning APIs
- Create reusable components and abstractions for model capabilities and inference pipelines
- Optimize inference latency, throughput, and GPU utilization
- Build, deploy, and maintain scalable generative model APIs
- Resolve production challenges
- Develop generative-media solutions with customers
Benefits
- Equity
- Health, dental, and vision insurance
- Regular team events and offsites