Machine Learning Infrastructure Engineer
3 weeks ago
The role of a Software Engineer on Tesla's Autopilot AI team involves optimizing and scaling our neural network training infrastructure. This position requires expertise in designing, implementing, and maintaining high-performance applications for neural network training, evaluation, and data processing pipelines.
Responsibilities- Data Pipeline Design and Implementation: Build and maintain robust data processing pipelines that handle petabytes of autonomous vehicle data, including images, videos, and auto-generated labels, ensuring scalability and reliability.
- Neural Network Training Process Optimization: Support neural network training by optimizing code and data formats for faster data loading, orchestrating auto-labeling jobs, and debugging bottlenecks to enhance overall training efficiency.
- System Performance Enhancement: Develop and implement automation, monitoring, and optimization tools to improve the efficiency of system performance, including resource utilization, parallelism, and data I/O.
- Strong Software Engineering Skills: Extensive experience with Python and software engineering best practices, including code optimization and system-level programming.
- Experience with Deep Learning Frameworks: Proficiency in one or more deep learning frameworks, such as PyTorch or TensorFlow, with hands-on experience in optimizing model training processes.
- Distributed Systems Experience: Proven track record of building and managing large-scale distributed systems, particularly in AI/ML workflows, with a deep understanding of parallel computing, resource utilization, and data handling.
Estimated Salary: $140,000 - $360,000 per year
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Machine Learning Infrastructure Engineer
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Machine Learning Infrastructure Specialist
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