Job Description & How to Apply Below
Elevate Voxel's ML infrastructure as a Staff Software Engineer. Spearhead the development of innovative systems that enhance computer vision capabilities for real-time safety and efficiency.
At Voxel, you will shape the future of machine learning infrastructure, applying your expertise to streamline training and deployment processes. With over seven years in software development, including three years in ML infrastructure, your role will be pivotal in determining architectural decisions. You'll collaborate with applied computer vision engineers and lead technical directions to ensure seamless model integration and high reliability.
Key Responsibilities:
• Set the direction for ML infrastructure architecture
• Build training infrastructure for concurrent experiments
• Own model lifecycle from training to deployment
• Implement experiment tracking and lifecycle management
• Establish Dev Ops best practices for ML teams
Requirements:
• 7+ years in software systems engineering
• 3+ years focused on ML or data infrastructure
• Proficiency in PyTorch and Python programming
• Strong communication skills for technical discussions
• Experience in AWS for ML workloads is a plus
Drive the future of machine learning at Voxel by transforming robust architectures and infrastructure!
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