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Artificial Intelligence Research Intern - Deep Learning
NVIDIA is seeking a Ph.D. research intern in Taipei to develop and implement novel deep learning methods in areas like VLA, 3D vision, and speech LLMs. The role involves conducting original research, publishing findings, and collaborating with internal and external teams.
NVIDIA 2027 Internships: Ph.D. Research Computer Vision and Deep Learning
Ph.D. intern designing and implementing novel computer vision and deep learning methods, collaborating with researchers, and transferring results to product groups using Python, C++, CUDA, and frameworks like PyTorch or TensorFlow.
NVIDIA 2027 Internships: Deep Learning
NVIDIA is seeking interns for 12-week roles focused on deep learning applications, algorithms, and framework development. Interns will work on GPU-accelerated computing projects using technologies like CUDA, PyTorch, and TensorFlow.
Principal Machine Learning Engineer
Principal ML Engineer builds and governs scalable, explainable matching models on AWS SageMaker, setting MLOps standards and ensuring regulatory-grade compliance for a global fintech platform.
Director, Agentic AI, Data Science Lead, AI Labs
Lead a team of 3-6 AI scientists in BlackRock's AI Labs, owning end-to-end delivery of agentic AI workflows and flagship ML initiatives from scoping through production deployment, primarily using Python, LLMs, and AI/ML systems.
Senior Software Engineer, Innovation (Python/C#)
Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we…
Data Scientist (Askuity division)
Build and deploy ML models and GenAI tools to turn retail data into actionable insights for suppliers and merchants using Python, GCP, and MLOps.
Staff Engineer, Applied AI
Staff Engineer leading an applied AI team to take models from prototype to production across restaurant operations, digital ordering, and supply chain using Python, ML frameworks (PyTorch/TensorFlow), LLMs, AWS SageMaker/Bedrock, and modern data platforms.
Back-End/Full-Stack Developer
Develops and maintains a government Investment Data Warehouse platform with AI/ML and GenBI capabilities, focusing on data modeling, ETL pipelines, and analytics dashboards using Snowflake, AWS, and React.