Staff Software Engineer, ML Performance & Systems

Benefits

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About this role

Staff Software Engineer, ML Performance & Systems 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 role: Help fal maintain its frontier position on model performance for generative media models. Design and implement novel approaches to model serving architecture on top of our in-house inference engine, focusing on maximizing throughput while minimizing latency and resource usage. Develop performance monitoring and profiling tools to identify bottlenecks and optimization opportunities. Work closely with our Applied ML team and customers (frontier labs on the media space) and make sure their workloads benefit from our accelerator. Key Responsibilities: - Help fal maintain its frontier position on model performance for generative media models. - Design and implement novel approaches to model serving architecture on top of our in-house inference engine, focusing on maximizing throughput while minimizing latency and resource usage. - Develop performance monitoring and profiling tools to identify bottlenecks and optimization opportunities. - Work closely with our Applied

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