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Explainable AI Engine for the Enterprise

Software Engineer, Deep Learning Infrastructure

$110k – $155k AngelList Est.
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What you'll do:
Build a modern Runtime Stack for Deep Learning supporting formats like Tensorflow, ONNX, PyTorch etc.
Develop cluster automation to manage a fleet of TensorFlow workers via Kubernetes.
Work with Customer Data Scientists to understand their requirements and design and build a world-class ML Platform to improve their productivity and velocity.
Continuously look for ways to improve service performance and incorporate user feedback to design and build a better product.

What we're looking for:
BS/MS/PhD in Computer Science or equivalent
Experience with C++ or Python, Unix, databases, distributed computing, concurrent computing, databases and containerization (Docker).
Strong experience in distributed systems, data management and operating systems.
Pluses: AWS experience, industry experience with large-scale deployments of Kubernetes and TensorFlow across cloud platforms.
Curiosity, ownership, empathy towards customers, willingness to learn new things and desire to inspire others are values we care.

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