Machine Learning Computer Vision Intern

Syntiant • Redwood City, CA

2d

About The Position

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a Machine Learning Computer Vision Intern to expand our computer vision detection capabilities through strategic framework diversification and cutting-edge algorithm exploration. We have a robust, production-proven detection pipeline implemented in C++ that consistently delivers high-quality results in our live systems. To accelerate our research initiatives and explore next-generation detection methodologies, we're creating a parallel PyTorch-based research pipeline. This exciting initiative will enable our team to rapidly prototype and validate innovative detection approaches while maintaining our proven production standards. PyTorch is the industry-leading framework for computer vision research and experimentation. By leveraging PyTorch's rich ecosystem and flexibility, this project will unlock opportunities to integrate state-of-the-art detection architectures and explore novel approaches that could define the future of our detection capabilities. This internship offers the unique opportunity to work with both production-grade systems and cutting-edge research, directly shaping the future of our computer vision capabilities while gaining invaluable experience in both software engineering and AI research.

Requirements

• Candidate pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field with hands-on experience in computer vision and PyTorch.

Nice To Haves

• Industry work experience is not required, but it would be good to have.

Responsibilities

• Architecting a PyTorch-based detection pipeline inspired by our proven C++ system.
• Implementing and validating detection algorithms using modern deep learning frameworks.
• Ensuring seamless integration and output consistency across platforms.
• Experimenting with cutting-edge detection architectures (YOLO, R-CNN variants, Transformers).
• Pioneering detection improvements and performance optimizations.
• Contributing to our research roadmap with innovative detection methodologies.
• Documenting breakthrough findings and technical recommendations.

What This Job Offers

• Career Level: Intern