GoMotive is hiring a
Senior Computer Vision Engineer in Pakistan

Summary

The job is for a Senior Computer Vision Engineer at Motive, whose mission is to bring intelligence to trucks by building technology to understand driving behavior, identify risk factors, and suggest coachable events. The role involves improving existing models, designing and optimizing CV/ML algorithms, writing Python and C++ code, collaborating with various teams, and solving challenging computer vision problems.

Requirements

• Bachelor’s Degree in Computer Science, Electrical Engineering, or related field. A Master’s or a Ph.D. degree is a strong plus
• 5+ years of algorithm development experience in the area of 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 framework and tools (TensorFlow | Pytorch | Caffe)
• Strong experience in Python or C++
• Hands-on experience in building embedded algorithms and applications

Responsibilities

• Improve the performance of our models and algorithms already in production
• Build and optimize CV/ML algorithms for real-time performance so they can run on our embedded platform i.e. the next-gen AI dashcam
• 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 RnD team working in Computer Vision, Machine Learning, and Robotics, along with ML Platform, Embedded, Backend, and Frontend teams to deliver end-to-end product features
• Solve challenging object detection, segmentation, recognition, and geometric computer vision problems
• Build automated deployment, validation, and active learning pipelines

Preferred Qualifications

• Experience in the following tools and technologies is a plus. AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes
• Prior experience with optimizing and deploying ML models on embedded devices is a strong plus