Computer Vision Engineer

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.

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