PhD Intern - AI Efficiency Researcher

Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including LLMs, RL, NLP, computer vision, AI theory and Autonomous driving.

About the Job:

• Engage in cutting-edge research on AI system optimization, with a focus on enhancing performance on edge devices.

• Research and develop efficient algorithms and models to minimize the computational and storage overhead on edge devices.

• Explore and implement AI model optimization techniques tailored to specific hardware platforms, such as model quantization, pruning, and distillation optimization.

• Evaluate and analyze the performance of optimized AI models in real-world application scenarios.

• Collaborate with team members to solve technical challenges and contribute to academic paper writing and publication.

• Currently enrolled in a PhD program in Computer Science, Electrical Computer Engineering, Artificial Intelligence, or a related field.

• Strong foundation in mathematics and programming skills.

• Knowledge of deep learning frameworks, TensorFlow and PyTorch, with practical experience in Transformer architecture.

• Proficiency in common AI model optimization techniques, such as model quantization, pruning, and distillation.

• Familiarity with edge device development, such as mobile platforms and embedded systems.

• Strong programming skills in Python, C/C++, and other relevant languages.

• Experience with optimizing and deploying large language models is an asset; Publications in top-tier academic conferences or journals are assets.

• Excellent communication and teamwork skills; strong independent thinking and problem-solving abilities.