Description
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.