About the role
AI summarisedResearch Scientist role at ARTC focusing on AI model optimization, including neural network compression, quantization, and pruning for efficient deployment on edge devices. The role involves conducting research, developing algorithms, and collaborating with cross-functional teams.
ResearchFull-time
Key Responsibilities
- Conduct research and development in AI model optimization techniques such as quantization, pruning, and knowledge distillation.
- Design and implement algorithms to compress deep neural networks without significant accuracy loss.
- Collaborate with cross-functional teams to integrate optimized models into production systems.
- Stay up-to-date with the latest advancements in AI and machine learning.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and interns.
Requirements
- PhD in Computer Science, Electrical Engineering, Mathematics, Physics, or related field.
- Strong publication record in top-tier AI/ML conferences (e.g., NeurIPS, ICML, CVPR).
- Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Experience with model compression techniques including quantization, pruning, and knowledge distillation.
- Solid understanding of neural network architectures and optimization algorithms.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Experience with C++ is a plus.
- Experience deploying models on edge devices is preferred.