Software Engineer, Applied Machine Learning San Francisco

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 RoleYou 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.TechYou will have access to our massive GPU cluster for training and inferenceSome core technologies we use include Python, torch, diffusers, and the fal Python SDKYou'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughsCompensation$170,000 - $250,000 + equity + comprehensive benefits packageLocationSan Francisco, CAWhat We Offer At FalInteresting and challenging workA lot of learning and growth opportunitiesWe offer relocation assistance to San Francisco.Health, dental, and vision insurance (US)Regular team events and offsites