Software Engineer, Machine Learning - Perception

Job Description

Motive is seeking a Software Engineer - Vision to join its team, focused on bringing intelligence to the world’s trucks. The engineer will contribute to building technology that understands driving behavior, identifies risk factors, and suggests coachable events to improve fleet safety. The role involves working with a team of researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics, with a track record of previous products and top-tier publications.

The engineer will design and implement complex computer vision systems, build and improve algorithms for edge processing, implement cloud services, and integrate them to deliver end-to-end product features. They will also gain exposure to large-scale ML infrastructure and scaling that facilitates large amounts of data to train, test, and validate computer vision systems. This role offers the opportunity to work on technology used by millions of trucks.

What the role involves:

• Evaluate and improve the performance of existing models and algorithms already in production
• Conduct research and execute experiments to build new AI models and algorithms
• Build and optimize CV/ML algorithms for real-time performance
• Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression, and porting pipelines
• Convert state-of-the-art research prototypes into reliably working product features
• Collaborate with cross-functional teams to ensure the development of robust and sustainable AI systems
• Solve challenging object detection, segmentation, recognition, and geometric computer vision problems

Requirements:

• Bachelor’s Degree in Computer Science, Electrical Engineering, or related field (Master’s preferred)
• 4 years of industry experience or academic research experience in Computer Vision, Deep Learning, and Machine Learning
• Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches
• Hands-on experience in training frameworks and tools (TensorFlow | Pytorch | Caffe)
• Strong experience in Python or C++
• Experience in AWS, CI/CD, Terraform, Docker, and Kubernetes is a plus

What Motive offers:

• Opportunity to work on technology used by millions of trucks