Design and optimize distributed infrastructure and training pipelines for large-scale language and multimodal models. The role requires 3+ years of distributed systems or ML infrastructure experience, PyTorch, cloud platforms, container orchestration, and distributed training expertise.
Research Engineer conducting open-ended ML research, reproducing SOTA papers, building/scaling distributed training infrastructure on GPU clusters, and bridging research ideas into production code. Requires strong programming, ML frameworks, distributed systems experience, and math foundations; Master's/PhD preferred.
Builds and deploys machine learning models to address business challenges. Requires 3+ years experience, Python proficiency, TensorFlow/PyTorch, and production ML deployment skills.
Build and maintain scalable backend infrastructure for Fireworks AI's generative AI platform, including LLM CI/CD pipelines, control planes, and model serving systems. Requires 5+ years software engineering experience focused on ML/infrastructure, strong Python/Go skills, and familiarity with PyTorch, Kubernetes, and LLM concepts.
Design and optimize distributed infrastructure and training pipelines for large-scale language and multimodal models. The role requires 3+ years of distributed systems or ML infrastructure experience, PyTorch, cloud platforms, container orchestration, and distributed training expertise.
Research Engineer conducting open-ended ML research, reproducing SOTA papers, building/scaling distributed training infrastructure on GPU clusters, and bridging research ideas into production code. Requires strong programming, ML frameworks, distributed systems experience, and math foundations; Master's/PhD preferred.
Builds and deploys machine learning models to address business challenges. Requires 3+ years experience, Python proficiency, TensorFlow/PyTorch, and production ML deployment skills.
Build and maintain scalable backend infrastructure for Fireworks AI's generative AI platform, including LLM CI/CD pipelines, control planes, and model serving systems. Requires 5+ years software engineering experience focused on ML/infrastructure, strong Python/Go skills, and familiarity with PyTorch, Kubernetes, and LLM concepts.