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  • Emplois similaires à : 2027 Applied Science Intern (Computer Vision), Amazon International Machine Learning
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Machine Learning Computer Vision InternSyntiant • Redwood City, California, United States
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Machine Learning Computer Vision Intern

Syntiant
  • US
    Redwood City, California, United States
  • US
    Redwood City, California, United States
Postuler Maintenant

À propos

Summary Description 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. Specific Duties and 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. Qualifications, Education, and Experience Required 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. Industry work experience is not required, but it would be good to have. About Syntiant Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose‑built silicon and hardware‑agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra‑low‑power, high‑performance, deep neural network processors. Syntiant also provides compute‑efficient software solutions with proprietary model architectures that enable world‑leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.
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  • Redwood City, California, United States

Compétences linguistiques

  • English
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