fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About This Role

You are an ML Engineer who has a broad view of the generative media space and an update-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers problems. Your work will focus on developing, fine-tuning, and operationalizing machine learning models to enhance user experiences. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets.

Tech

You will have access to our massive GPU cluster for training and inference
Some core technologies we use include Python, torch, diffusers, and the fal Python SDK
You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs

Compensation

$170,000 - $250,000 + equity + comprehensive benefits package

Location

San Francisco, CA

What We Offer At Fal

Interesting and challenging work
A lot of learning and growth opportunities
We offer relocation assistance to San Francisco.
Health, dental, and vision insurance (US)
Regular team events and offsites

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