Senior Computer Vision Engineer

Who we are: Motive creates technology to enhance the safety, efficiency, and profitability of businesses that fuel the physical economy. Motive applies IoT hardware with AI-powered applications to connect and automate physical operations. Motive is among the fastest-growing software companies globally, serving more than 120,000 businesses across various sectors such as trucking and logistics, construction, oil and gas, food and beverage, field service, agriculture, passenger transit, and delivery. Motive stands on four foundational attributes; Own It, Less but Better, Build Trust, and Unlock Potential. This approach has led our company to remarkable achievements, including recognition by Fortune for Best Workplaces, Forbes Best Startup Employers, and Comparably for our Best Global Culture, Sales Team, Leadership Team, Career Growth, and CEO for Diversity. We are proud to achieve an employee net promoter score of 63 (according to Comparably) which positions Motive in the top 5% of companies with 4,000-plus employees. Currently, our team consists of more than 3,000 employees worldwide, providing support to a wide range of clients. While most of our workers operate remotely, many have the option to work on-site at any of our eight global office locations. Please visit our careers website for more information on opportunities at Motive. About the role: As a Senior Computer Vision Engineer, you will join a passionate team dedicated to bringing intelligence to the world's trucks. The team is focused on developing technology to understand driving behavior, identify risk factors, and intelligently suggest coachable events that not only enhance fleet safety and potentially save millions of dollars but also contribute to safer roads. You will be given a unique opportunity to work with a high-caliber and fast-paced team comprising experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics with a history of prior products and top-tier publications. Your role in constructing and enhancing a technology used by millions of trucks is critical. In this role, you will design and implement complex computer vision systems. The opportunity to create and/or develop algorithms for edge processing, implement cloud services, and integrate them to deliver end-to-end product features will also be given. Moreover, you will gain exposure to large-scale ML infrastructure and scaling that accommodates vast data amounts to train, test, and validate computer vision systems. What You'll Do: - Improve the performance of our models and algorithms already in production - Construct and optimize CV/ML algorithms for real-time performance so they can be implemented in 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 - Transform 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. What We're Looking For: - Bachelor's Degree in Computer Science, Electrical Engineering, or related field. A Master’s or a Ph.D. degree is a significant 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 methods. - 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 - Experience using 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. Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people from different backgrounds, experiences, abilities, and perspectives. Please review our Candidate Privacy Notice here. The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive's products and technology. #LI-Remote