SenseTime is a leading AI software company focused on creating a better AI-empowered future through innovation. We are committed to advancing the state of the art in AI research, developing scalable and affordable AI software platforms that benefit businesses, people and society as a whole, while attracting and nurturing top talents to shape the future together.
With our roots in the academic world, we invest in our original and cutting-edge research that allows us to offer and continuously improve industry-leading AI capabilities in universal multimodal and multi-task models, covering key fields across perception intelligence, natural language processing, decision intelligence, AI-enabled content generation, as well as key capabilities in AI chips, sensors and computing infrastructure. Our proprietary AI infrastructure, SenseCore, integrates computing power, algorithms, and platforms, enabling us to build the “SenseNova” foundation model set and R&D system that unlocks the ability to perform general AI tasks at low cost and with high efficiency. Our technologies are trusted by customers and partners in many industry verticals including Smart Business, Smart City, Smart Life and Smart Auto.
Job Responsibility
- Design, develop, and iterate deep learning and computer vision algorithms;
- Conduct research on topics related to computer vision and deep learning, including but not limited to large multimodal models and generative AI;
- Drive the performance optimization of related computer vision algorithms in various use cases;
- Collaborate with cross-functional teams to promote the landing of various projects for real-world applications.
Minimum Requirements
- A Master's or PhD degree in computer science, electrical engineering, or a related field;
- Proficient in Python and deep learning frameworks such as PyTorch; programming experience in C++ and SDK development projects is a plus;
- Demonstrate experience in optimizing and accelerating deep learning models;
- Demonstrate a strong focus on staying current with state-of-the-art technologies in deep learning and computer vision, and have a deep understanding of mainstream technologies in these fields; experience in generative AI and large large multimodal models is a plus;
- Strong analytical and problem-solving skills, with the ability to adapt to changing project requirements and deadlines
Preferred Requirements
- Have relevant internship experience in the industry or research experience at top-tier university laboratories and research institutes, or possess a strong track record of working on cutting-edge research projects in industry;
- Demonstrate strong research abilities, with a proven ability to design and implement innovative algorithms for deep learning and computer vision applications;
- Have a background of contributing to open-source projects related to machine learning research or a record of publishing high-quality blog articles related to machine learning topics;
- Possess experience contributing to research communities and efforts, including a strong record of publishing papers in leading machine learning venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, and other top-tier conferences and journals in related fields;
- Have experience in participating and achieving good results in prestigious competitions, such as ACM-ICPC, SC-SCC, and other well-known machine learning and computer vision competitions.
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Sciences / Laboratory / R&D - Industry:
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Downtown Core