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A leading tech company in Singapore is seeking an accomplished individual to design and develop state-of-the-art multimodal models for autonomous driving. The role requires expertise in Python and C/C++, as well as experience with deep learning frameworks like PyTorch and TensorFlow. You will optimize models for performance on edge devices and cloud platforms. Candidates with advanced degrees in relevant fields and a strong publication record in top-tier conferences are preferred.
Design, develop, fine tune, and deploy SOTA multimodal models for various usecases in autonomous driving, including vision language models (VLMs) and Large Language Models (LLMs)
Optimize models for latency, throughput, and memory usage, ensuring efficient deployment on edge devices and cloud platforms.
BS degree in Computer Science or a similar discipline.
Stong programming skills in Python and C/C++.
Hands-on experience with deep learning frameworks such as PyTorch and Tensorflow.
Excellent communication, strong analytical thinking and problem solving skills.
MS or PhD in Computer Vision, Machine Learning, Computer Graphics, or a related field, or equivalent professional experience.
Deep expertise in the latest deep learning SOTA models.
Track record of published research in top-tier computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, or other leading forums.