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Unpaid- Intern (Taiwan local) Avalanche Computing, a deep learning data scientist / engineer, delivers amazing quality models and algorithms by combining state-of-the-art computer vision, image processing, time series analysis, and deep learning for demo the concept. As a data scientist/deep learning intern on our team, you'll help to develop and extend these algorithms, working with the customers who made vertical AI in medical, manufacturing, construction, and so on. And make the AI

Data Scientists (AI) Intern (Taiwan local) Avalanche Computing deep learning data scientists deliver amazing quality models and algorithms by combining state-of-the-art computer vision, image processing, time series analysis, and deep learning. As a data scientist/deep learning intern on our team, you'll help to develop and extend these algorithms, working with the customers who made vertical AI in medical, manufacturing, construction, and so on. And make the AI model spanning the border of

NVIDIA is searching for several outstanding computer vision and deep learning researchers to join our new research team in Taipei/Hsinchu. We are passionate about research that pushes boundaries but also has an impact in the real world. Specific areas we are excited by include but are not limited to computer vision for 3D vision, generative and multimodal AI (e.g., vision and language, audio-visual learning, etc.), as well as explainable and trustworthy

We are looking for a Senior Software Program Manager to join NVIDIA’s Compute Software platform team. Our work has made major impact in various fields, and is used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies and CSPs. We need hardworking, passionate, and creative people to help us reach our Engineering goals. What you'll be doing: Work closely with software and firmware development managers, engineers, and other logistical

Rosetta.ai helps fashion e-commerce uncover consumer's shopping preferences and provide personalized shopping experiences to consumers. We're making e-commerce merchants have enterprise-level AI backup on day 1. We are seeking Deep Learning Engineers, dedicated to Recommender System, to join our data science team. The ideal person will have industry experience working on a range of classification and optimization problems, e.g.click-through rate prediction, recommendation systems, or search

1. Improve model accuracy/performance to achieve real-time inference on edge device. 2. Iterate model to cover all kinds of common features on highway/city scene. 3. Develop a single model to simultaneously output object detection and segmentation result. 4. Apply model distillation, pruning, factorization, and quantization. 5. Data cleaning and augmentation. 6. Port to edge device, profile and find bottlenecks. 7. SOTA paper

- We are looking for experienced Machine Learning/Deep Learning engineers. - This is a technical role, and it requires a high willingness to learn state-of-the-art AI techniques and a skill to apply AI techniques to business applications/processes. - Participate in the engineering life-cycle, including writing production code, conducting code reviews and deploy machine learning solutions into production. - You’re not just looking for a job, you’re looking for an innovative

NVIDIA is searching for a Director to setup and build a team of Software Engineers and Data Scientists to develop artificial intelligence (AI), computer vision and data analytics algorithms and applications for our Metropolis for Factories and Manufacturing platforms. Artificial Intelligence is transforming how we collect, inspect, and analyze different kinds of sensor data that impacts everything from manufacturing automation, warehouse management, product inspections to safety workflows. NVIDI

Research and evaluate different AI and Deep learning approaches to determine the most effective solutions for given problems Design AI and LLM system pipelines, leveraging libraries like PyTorch, SD, and LangChain (et al.) Build, train, evaluate, and optimize AI models using techniques like deep learning, reinforcement learning, computer vision, NLP, etc. Work closely with data engineers and analysts to implement models in production environments. Monitor and maintain AI systems in production, e

1. 分析現有電腦視覺相關產品, 尋找提升產品質量的解決方案 2. 研究與評估最新的電腦視覺相關深度學習演算法並實現於產品上 3. 電腦視覺系統整合與開發深度學習相關產品 **依學