fal.ai
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About
fal.ai is a generative media platform for developers, offering access to over 600 production-ready AI models for image, video, and audio generation. Users can build, deploy, and train models using serverless GPUs and dedicated compute clusters. The platform's fal Inference Engine™ ensures up to 10x faster inference speeds for diffusion models, scaling instantly from zero to thousands of GPUs with guaranteed performance and 99.99% uptime. A unified API and SDKs allow seamless integration of state-of-the-art open models or custom LoRAs, eliminating MLOps complexity. fal.ai supports enterprise scale with SOC 2 compliance, private endpoints, SSO, usage analytics, and 24/7 priority support. Founded in 2021, fal.ai's core mission is to amplify human creativity by making generative AI accessible, addressing challenges like slow inference and high costs, and empowering a new generation of creators.
Platform
Task
Features
• pay-as-you-go pricing for compute and model apis
• enterprise-grade reliability (soc 2, sso, private endpoints)
• support for private deployments and custom models
• unified api and sdks for developers
• fal inference engine™ for up to 10x faster inference
• dedicated compute clusters with latest nvidia hardware
• serverless gpus with instant scaling
• 600+ generative image, video, and audio models
Pricing Plans
Pay-as-you-go: GPU Compute (Hourly)
USD0.99 / per hour• Access to H100, H200, A100, B200 GPUs
• On-demand serverless compute
• Custom deployments
• Starting from $0.99/hour
Pay-as-you-go: Video Model API (Per-unit)
USD0.02 / per output unit• Access to various video generation models (Hunyuan, Kling, Wan, MiniMax, LTX-Video)
• Billed per video or per video second
• Starting from $0.02 per video second
Pay-as-you-go: Image Model API (Per-unit)
USD0.00 / per output unit• Access to various image generation models (FLUX.1, Stable Diffusion 3)
• Billed per image or per megapixel
• Starting from $0.003 per megapixel
Enterprise
$-1.00• Custom solutions
• Dedicated compute
• SLA
• 24/7 priority support
• SOC 2 compliance
• Single Sign-On
• Private endpoints
• Usage analytics
• Contact Sales for pricing
Job Opportunities
Applied ML Engineer
fal.ai is a generative media platform for developers, providing access to image, video, and audio models, serverless GPUs, and on-demand clusters for model development.
Benefits:
equity terms (early exercise, extended exercise)
learning and growth opportunities
visa sponsorship
relocate to San Francisco
Health, dental, and vision insurance (US) (US only, assume it is for US based employees, as no other country specified for this benefit.) Health insurance and dental insurance, vision insurance provided for employees, only US.
Responsibilities:
developing, fine-tuning, and operationalizing machine learning models to enhance user experiences
entirely novel training or architecture developments
fine-tuning pre-existing models with novel datasets
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Product Engineer
fal.ai is a generative media platform for developers, providing access to image, video, and audio models, serverless GPUs, and on-demand clusters for model development.
Benefits:
Interesting and challenging work
Competitive salary and equity
Employee-friendly equity terms (early exercise, extended exercise)
A lot of learning and growth opportunities
visa sponsorship and relocation assistance to San Francisco.
Responsibilities:
access to our cloud infrastructure for development and deployment
make our model playgrounds more interactive and help make them more discoverable
collaborate with a cross-functional team to rapidly iterate and deploy new features
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Research Scientist (Engineering)
fal.ai is a generative media platform for developers, providing access to image, video, and audio models, serverless GPUs, and on-demand clusters for model development.
Benefits:
Interesting and challenging work
Competitive salary and equity
Employee-friendly equity terms (early exercise, extended exercise)
A lot of learning and growth opportunities
visa sponsorship and relocation assistance to San Francisco.
Experience Requirements:
Work published in ICCV, ICML, Neurips, CVPR
Responsibilities:
develop new methods to solve customers problems
entirely novel training or architecture developments
fine-tuning pre-existing models with novel datasets
Show more details
Ratings & Reviews
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