Software Engineer, Applied Machine Learning

Sourced from jobcedar.com

fal is a generative media platform providing high-performance inference, orchestration, and model access for AI-native products. As an Applied Machine Learning Engineer, you will own the model layer, extending state-of-the-art open-source image, video, audio, and 3D generative models and maintaining the fleet of generative model APIs. The role blends cutting-edge generative research with scalable production deployment and direct customer collaboration.

• Extend SOTA image, video, audio, and 3D models with new capabilities and modalities
• Develop novel approaches to model conditioning, generation, and editing, including training-free methods and fine-tuning
• Build and maintain fine-tuning APIs for customer model customization
• Identify common patterns and build reusable abstractions for model capabilities and inference pipelines
• Apply state-of-the-art inference optimization for low latency, high throughput, and GPU efficiency
• Build, deploy, and maintain scalable, reliable generative model APIs
• Collaborate directly with customers to develop novel generative media solutions

• 3+ years of professional experience as an Applied ML Engineer
• 1–2 years focused on 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 open-weight model ecosystems such as Hugging Face and Diffusers
• Strong engineering judgment for scalable, reliable, secure, and performant production systems
• Experience with training-free model extensions and model post-training/fine-tuning
• Demonstrated ability to take ML ideas from concept to production

• Startup experience
• Experience in digital media and entertainment industries