[Hiring] Machine Learning Engineer 2, ML App and Frameworks @Torc Robotics

Role Description

This role involves architecting scalable ML systems capable of handling petabytes of training data to power Level 4 autonomous driving technology.

• Design and implement a unified platform for training and deployment of state-of-the-art machine learning models
• Develop scalable training pipelines to efficiently process massive datasets for autonomous vehicle perception systems
• Create deployment solutions that optimize model performance on edge computing devices
• Build infrastructure to support continuous improvement of models through testing and validation
• Collaborate with cross-functional teams to integrate ML systems with other vehicle systems

Qualifications

• Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus 2 years of experience as a Machine Learning Engineer
• Will accept Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competences and technical proficiencies typically acquired through 5 years of experience as a Machine Learning Engineer

Requirements

• Experience with tensorrt, pytorch, ros and ray based workflows
• Experience with distributed training systems for large-scale ML datasets (petabyte-scale)
• Proficiency in deep learning frameworks (PyTorch, TensorFlow, Keras)
• Model optimization techniques (compression, quantization, ONNX, TensorRT)
• Distributed ML infrastructure for scalable training and orchestration tools (Ray, Dagster)
• Experience with multimodal systems for autonomous vehicles
• Programming in Python, C++, Ros middleware
• Designing and implementing ML lifecycle pipelines (training, testing, deployment)

Company Description

Position is located at HQ in Blacksburg, VA but eligible to work from anywhere in the U.S.

Salary: $197,312.50

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