Machine Learning Infrastructure Engineer
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The role focuses on designing, building, and maintaining scalable ML training and serving infrastructure to accelerate research and product development.
You will develop tooling to diagnose cluster issues and hardware failures, monitor deployments, and manage experiments.
A core priority is maximizing GPU allocation and utilization for both training and serving workloads.
Provide infrastructure support to ML teams, troubleshoot performance bottlenecks, and coordinate with platform engineers.
Required hands-on experience with cloud platforms, Kubernetes, and GPU-enabled environments, plus experience with PyTorch, TensorFlow, or JAX.
This role demands 4+ years of ML infra experience and a proactive, collaborative mindset in a fast-paced research setting.
You will develop tooling to diagnose cluster issues and hardware failures, monitor deployments, and manage experiments.
A core priority is maximizing GPU allocation and utilization for both training and serving workloads.
Provide infrastructure support to ML teams, troubleshoot performance bottlenecks, and coordinate with platform engineers.
Required hands-on experience with cloud platforms, Kubernetes, and GPU-enabled environments, plus experience with PyTorch, TensorFlow, or JAX.
This role demands 4+ years of ML infra experience and a proactive, collaborative mindset in a fast-paced research setting.
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