AI Scientist - Machine Learning (US/KR)

Requirements

• Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a related field.
• 3+ years of hands-on experience in deep learning, with a strong focus on sequence modeling and time-series forecasting.
• In-depth expertise in Transformer architectures and their applications beyond natural language processing.
• Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• Solid mathematical foundation in statistics, optimization, and signal processing.
• Familiarity with hybrid modeling approaches that combine deep learning and traditional statistical methods.
• Experience working with noisy, sparse, or irregularly sampled time-series data.
• Strong publication track record in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR).
• Practical experience deploying ML models in production environments, with knowledge of MLOps best practices.
• [Nice to have] Strong experience in neural network training and optimization, preferably with hands-on expertise in tabular foundation models for structured data applications.

Additional Information

We are seeking a highly motivated AI Scientist specializing in Machine Learning to join our growing AI R&D team. In this role, you will be at the forefront of developing and deploying cutting-edge deep learning models to solve real-world temporal modeling challenges in manufacturing. We're looking for a candidate with strong practical R&D experience, grounded in solid theoretical fundamentals, and deep expertise in AI disciplines. The ideal candidate will have a deep understanding of state-of-the-art machine learning algorithms and techniques, a track record of impactful publications in top-tier conferences such as NeurIPS, ICML, ICLR, KDD, CVPR, or ICCV, and a solid background in computer science and engineering. Experience collaborating with software engineering teams to scale and productize ML solutions is a strong plus. This is a high-impact role that combines foundational research, system-level design, and hands-on implementation. You'll work closely with cross-functional teams to develop innovative solutions that guide strategic decisions and deliver tangible business value.

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Company Intel

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