6G AI/ML Scientist

at  Nokia

Nokia Standards drives technology leadership by developing and bringing innovative concepts to industry and standards organizations. We shape ecosystems to ensure an inventor-friendly industry environment favorable to Nokia’s business success, and drive Nokia’s intellectual property rights portfolio and standards leadership.
As an AI/ML scientist, you will bring our AI research and innovation to the next level. You’ll be a crucial part of a world-class global team, applying the latest advances in Machine Learning to create 6G as an AI-native technology. You solve real-world challenges, create innovations, and provide guidance and inspiration on the application and research direction of applied AI/ML in wireless and systems of the mobile network, aligned with Nokia’s mission to connect the world.

At Nokia, we value AI/ML scientists who are not only experts in their field but also innovators, inventors, and visionaries.

• Shape the future of the 6G networks by creating research roadmaps for applying AI/ML to the 6G AI-native system.
• Identify novel AI trends and opportunities and adopt and apply the latest AI technology to the domain of wireless and mobile networks.
• Open new solution spaces for AI/ML innovations and inventions in next generation mobile networks.
• Design and create new AI/ML solutions and architectures and collaborate with world-class engineering teams to solve domain-specific challenges.
• Support the planning and coordination of AI/ML-related work streams with a diverse and highly motivated team of experts.
• Mentor and provide guidance to AI/ML practitioners for creating best-in-class wireless and system AI/ML solutions.
• Learn from the best in the industry about cutting-edge wireless and mobile network technologies.
• A PhD in computer science, artificial intelligence and machine learning, or a related field.
• Expert knowledge of the fundamentals of artificial intelligence and machine learning and hands-on experience in advanced deep learning methods and architectures.
• Excellent understanding and experience in one or more areas of reinforcement learning, variational autoencoders, GANs, transfer and federated learning, machine reasoning, AI explainability.
• Preferably, practical experience with applied machine learning in industry-relevant use cases.
• A good understanding of wireless technologies and mobile radio networks is a plus.
• Excellent team working abilities and drive to mentor and teach colleagues about the latest advances in ML.
• Curiosity and a strong research spirit to expand the boundaries of the currently known.

Please refer the Job description for details