About the role

we are a technology company specializing in AI for Science and applying AI technologies to cutting-edge research and real-world applications in biopharmaceuticals, new materials, finance, and other fields. Directions You Will Be Involved InPre-training and alignment of scientific research large models; multimodal modeling of molecules, proteins, crystals, financial time series, and more; distributed training and inference deployment; multi-agent systems (Agentic AI) for scientific discovery and quantitative strategies; frontier research and paper publication. Systematic pre-employment training will be provided upon joining; mastery of all areas is not required beforehand.
Basic Requirements: Fresh graduates with a bachelor's or master's degree in science or engineering (Class of 2026, including overseas returnees); no restriction on major; genuine interest in AI, deep learning, and interdisciplinary applications. Proficiency in Python, familiarity with basic machine learning concepts, and ability to read English literature.
Bonus Qualifications: Experience with PyTorch projects; exposure to Transformer / LLM; participation in AI-related competitions or open-source projects; interdisciplinary background in biology, chemistry, materials science, physics, or financial engineering. Work Locationremote from anywhere in the world

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