Machine Learning Researcher

My client is looking for researchers who have several first-author publications on ICML, NeurIPS, and ICLR on physics informed machine learning with applications to drug design. Join a pioneering team at the forefront of artificial intelligence and machine learning development. Our innovative research has contributed to groundbreaking products and services in diverse fields such as drug discovery, video analytics, and personalized healthcare. Work in a collaborative environment that values original research, encourages creativity, and facilitates professional growth. Qualifications: PhD in Computer Science, Electrical Engineering, Statistics, or related discipline Proven experience in machine learning research with a robust publication record Extensive knowledge in algorithms and numerical computation Proficient programming skills in Python, C/C++, or other languages Familiarity with deep learning frameworks like PyTorch or TensorFlow is an advantage If interested, please forward your resume to along with the link to your first-author publications on ICML, NeurIPS, and ICLR on physics informed machine learning with applications to drug design. Keywords: Machine Learning, Researcher, AI, Deep Learning, Natural Language Processing, Princeton, Physics-Informed Machine Learning, Drug Design, Computational Algorithms #J-18808-Ljbffr

Created: 2025-02-09