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.
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
$170,000 - $250,000 + equity + comprehensive benefits package
San Francisco, CA
Interesting and challenging work
Employee-friendly equity terms (early exercise, extended exercise)
A lot of learning and growth opportunities
We offer visa sponsorship and will help you relocate to San Francisco.
Health, dental, and vision insurance (US)
Regular team events and offsites
In the modern era, content is shifting from being human-made and algorithm-distributed to being generated on demand - personalized in real time for every audience, context, and moment. We’re Fal, and we’re building the infrastructure powering this transformation. Our platform is the first of its kind: a generative media stack for developers that enables real-time, AI-generated content across image, video, and audio. At the core is our serverless Python runtime, purpose-built to run massive ML models across thousands of GPUs with unmatched speed and efficiency. Applications built on Fal already serve millions of users - and we’re just getting started. Founded in 2021, we're scaling fast and backed by top investors including a16z, Bessemer, and Kindred. If you're an ambitious builder who wants to define the future of AI and media, we’d love to meet you.
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