Who we are:
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
Motive serves more than 120,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
Visit gomotive.com to learn more.
What You’ll Do:
- Solve challenging object detection, segmentation, recognition, and geometric computer vision problems.
- Build automated deployment, validation, and active learning pipelines.
- 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 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 cross-functional teams such as Embedded, Backend, Frontend, Hardware, QA, and the broader AI team to ensure the development of robust and sustainable AI systems
What We’re Looking For:
- Bachelor’s Degree in Computer Science, Electrical Engineering, or related field.
- Master’s/PhD degree is a strong plus.
- 2+ years of industry experience or academic research 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++
- Experience in the following tools and technologies is a plus: AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes.
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of 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 products and technology.
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