6G AI/ML Scientist

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.

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
 
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World’s Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.

Join us and be part of a company where you will feel included and empowered to succeed.