About Us
Hi there! We are fal, and we are on a mission to build world’s first generative media platform for developers.
We built a serverless runtime for Python that is optimized to run large ML models on 100s of GPUs efficiently. The applications built on our platform are currently serving millions of users around the world and our goal is to 1000x that over the next few years.
To see some examples of our product in action, go to our model gallery and docs.
fal was set up as a fully remote company from the start. Today, we are 10+ people strong, distributed across the world. We are looking for founding team members who share our excitement about the fast moving nature of AI and can independently build world-class infrastructure.
Let’s chat!
You enjoy squeezing the last bit of performance from our wide fleet of GPUs. You have worked with nightly torch APIs and build SOTA tooling on top of it to achieve the extreme levels of performance. You have applied optimization techniques across a wide range of ML models, particularly diffusion and vision models.
You are an ML engineer with expertise in technologies such as dreambooth and LoRA finetunes. You have experience in constructing pre-training pipelines to optimize outcomes. You are deeply concerned with training speed and likeness. You keep up with the latest papers from leading researchers and the most recent Comfyui workflows from the community.
Tech
You're familiar with diffusion architecture and have independently trained a SD fine-tune or a controlnet. You enjoy training and fine-tuning models but have no problem deploying machine learning models to production. You're capable of implementing the latest research papers, such as DoRA and MMDiTs.
Tech