5 hours ago
Bengaluru, IndiaMid Level
Responsibilities
- Evaluate and improve the performance of production machine-learning models and algorithms.
- Prototype and implement machine-learning modules for complex AI features.
- Build and optimize computer-vision and machine-learning algorithms for real-time execution on embedded AI dashcams.
- Develop Python and C++ code for computer-vision algorithms, ML services, training, model compression, and porting pipelines.
- Collaborate with Embedded, Backend, Frontend, Hardware, QA, and AI teams to develop robust AI systems.
- Build automated deployment, validation, and active-learning pipelines.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
- 4+ years of machine-learning and/or data-science experience.
- Strong mathematical foundation in deep learning, machine learning, and optimization.
- Strong experience with Python or C++.
- Experience optimizing and deploying ML models on embedded devices is strongly preferred.
- Experience with AWS SageMaker, Lambda, EC2, S3, RDS, Terraform, Docker, and Kubernetes is preferred.
Categories
About Motive
Motive builds an automated operations platform that pairs IoT hardware with AI-powered software for fleets and physical operations, covering GPS tracking, ELD compliance, dashcams, safety, maintenance, and spend management. It sells hardware and SaaS subscriptions to transportation, construction, energy, field service, and public-sector customers. Founded in 2013 and headquartered in San Francisco, the privately held company reports serving over 120,000 businesses.