Senior Machine Learning Engineer, Auto Labeling - Remote

Overview

The Senior Machine Learning Engineer will work on developing large ML models for high-quality labeled data generation, essential for training and evaluating onboard perception models in the autonomous vehicle space.

In Short

• Design and deploy large ML models for data generation from multi-sensor inputs.
• Utilize state-of-the-art techniques in distributed model training.
• Collaborate with various stakeholders throughout the development lifecycle.
• Contribute to building safety-critical onboard and offboard perception systems.
• Maintain a culture of engineering excellence within the team.

Requirements

• Degree in Computer Science, Machine Learning, Robotics, or related field.
• Master's or PhD preferred.
• 3+ years of experience in building ML systems.
• Experience with distributed training systems.
• Experience in the autonomous vehicle space is a plus.
• Strong Python skills, particularly with PyTorch.
• Experience with GPUs; CUDA experience is a plus.
• Ability to work in a fast-paced startup environment.

Benefits

• Opportunity to work on innovative AI and autonomous systems.
• Collaborative work environment with diverse teams.
• Contribute to significant projects in the trucking transportation industry.
• Work with cutting-edge technologies and techniques.
• Engage in a culture of inclusion and innovation.