AI Research Scientist
CHN - Zhong Guan Cun, China
Intel
Intels Innovation in den Bereichen Cloud-Computing, Rechenzentren, Internet der Dinge und PC-Lösungen macht die intelligente und vernetzte digitale Welt von heute möglich.Job Description:
We are seeking a highly motivated AI Research Scientist to join our team (AI Research Lab at Intel Labs China), focusing on cutting-edge AI algorithm research and Generative AI (GenAI) tech innovation. The ideal candidate will have a deep understanding of AI, machine learning (ML), and deep neural networks, with a focus on core AI algorithm research for tech innovations to advance AI models/tools for Intel AI PC and Edge Computing. Responsibilities: 1. Conduct cutting-edge research in AI and ML, with a focus on developing efficient and scalable AI technologies and innovative GenAI solutions. 2. Develop and optimize algorithms for improving the scalability and efficiency of AI models. 3. Stay updated with the latest advancements in AI and ML, and apply this knowledge to our research efforts. 4. Contribute to the design and implementation of advanced AI optimization tools and GenAI app prototypes that can help differentiate Intel AI platforms and solutions. 5. Publish research findings in top-tier journals/conferences, contributing to the broader AI community.Qualifications:
1. PhD or Master's degree in Computer Science, Electrical Engineering, or a related field (with a focus on AI/ML).
2. Proven experience in AI research, particularly in innovative AI algorithm design and GenAI innovation, and strong knowledge of machine learning algorithms and deep neural networks.
3. Proficiency in programming languages such as Python, Java, or C/C++ and experience with AI platforms and tools such as TensorFlow, PyTorch, or Keras.
4. Excellent problem-solving skills and the ability to think critically and creatively.
5. Strong communication skills, and a track record of publishing research in top-tier AI/ML/CV journals/conferences.
Minimum Qualifications:
1. PhD or Master's degree in Computer Science, Electrical Engineering, or a related field (with a focus on AI/ML).
2. Published related papers in top AI conferences/journals.
3. Proficiency in programming languages such as Python, Java, or C/C++ and experience with AI platforms and tools such as TensorFlow, PyTorch, or Keras.
Job Type:
College GradShift:
Shift 1 (China)Primary Location:
PRC, BeijingAdditional Locations:
Business group:
Intel's Sales and Marketing (SMG) organization works with global customers and partners to solve critical business problems with Intel based technology solutions. SMG works across business units to amplify the customer voice and deliver solutions that accelerate their business. We work across numerous industries, including retail, enterprise and government, cloud services and healthcare as examples. The operations team focuses on forecasting, driving alignment with factory production and delivering efficiency tools and our marketing capability drives demand and localized marketing in locations around the globe. Our sales force navigates a complex partner and customer ecosystem while shaping product roadmaps, driving value for our customers, and collaborating to harness emerging technology trends to deliver comprehensive solutions.Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of Trust
N/AWork Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Engineering Generative AI Java Keras Machine Learning PhD Python PyTorch Research TensorFlow
Perks/benefits: Conferences
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