Algorithm/Machine Learning Engineer

3 weeks ago


Stockholm, Sweden CO-WORKER TECHNOLOGY Full time

We are seeking a talented and experienced Machine Learning Engineer to join our client wireless algorithm team in developing the next-generation intelligent cellular network. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning models and algorithms that improve the performance, efficiency, and reliability of our cellular network. This includes research in the areas like MIMO systems, 6G deployment challenges including indoor, and joint communication and sensing with AI/ML. You will work closely with our client wireless algorithm team to collect and analyze data, identify opportunities for improvement, and develop machine-learning solutions to optimize the network.

 

Key Responsibilities

· Design, develop, implement and evaluate machine learning models and algorithms to optimize the cellular network performance and efficiency

· Conduct research studies on new concepts and technologies for 6G Radio Access Network (RAN) architecture and implementations

· Keep up-to-date with the latest research and developments in machine learning and next-generation cellular network

 

Qualifications

· PhD degree in Electrical Engineering or Computer Science.

· Solid knowledge in signal processing and linear algebra.

· Strong programming skills in Python/C++/Matlab or other programming languages commonly used for machine learning

· Excellent communication and collaboration skills, with the ability to work effectively in a team environment

· Strong analytical skills and interest in acquiring new knowledge and applying it at work

· Proven hands-on experience in machine-learning-based wireless algorithm design

 

Other skills and capabilities

· Excellent written and oral communication skills

· Strong problem-solving and analytical skills

· Excellent team player: cooperative and consultative behavior; ability to work independently and as a member of various teams.


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