Computer Vision Engineer

As a Computer Vision Engineer at Motive, you will be part of a passionate team dedicated to bringing intelligence to the world of trucks. Your role will involve designing and implementing complex computer vision systems, improving the performance of existing models and algorithms, and building and optimizing CV/ML algorithms for real-time performance. You will have the opportunity to work with a high-caliber team of experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics. Your work will contribute to improving fleet safety, saving millions of dollars, and making the roads safer.

• Improve the performance of models and algorithms already in production
• Build and optimize computer vision/machine learning algorithms for real-time performance on the embedded platform
• Write proficient Python and C++ code to build and improve computer vision algorithms, machine learning services, training, model compression, and porting pipelines
• Convert state-of-the-art research prototypes into reliably working product features
• Collaborate with R&D team in computer vision, machine learning, and robotics, as well as ML platform, embedded, backend, and frontend teams

• Improve the performance of models and algorithms already in production
• Build and optimize CV/ML algorithms for real-time performance on embedded platforms
• Write proficient Python and C++ code for building and improving CV algorithms, ML services, training, model compression, and porting pipelines
• Convert state-of-the-art research prototypes into reliable working product features
• Collaborate with R&D teams in Computer Vision, Machine Learning, and Robotics, as well as ML Platform, Embedded, Backend, and Frontend teams

• Competitive salary and benefits package
• Opportunity to work with a fast-growing software company
• Recognition by Fortune for Best Workplaces and Forbes Best Startup Employers
• Opportunity to work remotely or on-site at global office locations
• Chance to work with a passionate team focused on improving fleet safety and making roads safer
• Exposure to cutting-edge technologies such as Computer Vision, Machine Learning, and Deep Learning
• Opportunity to work on complex computer vision systems and algorithms
• Exposure to large-scale ML infrastructure and scaling
• Chance to contribute to a technology used by millions of trucks
• Collaboration with experienced researchers and engineers in the field
• Opportunity to convert research prototypes into reliable product features
• Chance to solve challenging computer vision problems
• Exposure to tools and technologies such as AWS, CI/CD, Terraform, Docker, and Kubernetes
• Commitment to creating a diverse and inclusive workplace