Radio Software Machine Learning AI Co-op

Join our Team

Location: Ottawa (Kanata Tech Park), Ontario (hybrid/onsite as needed by the team)
Duration: Min 12 months, prefer 16 months
Start: May 5th, 2025
Salary: Hourly and competitive, based on experience 

Please indicate in your resume or a cover letter how many months you are available for. Please add your most recent transcripts to your application.

 
About this opportunity 
 
Radio Software strives to be the most driven Radio Network R&D unit in the industry. We work in an agile setup to develop and maintain competitive, high quality Radio products which give our customers solutions securing future growth. We develop 5G, LTE, WCDMA, GSM and CDMA Network solutions to operators all over the world.
 
Our Exciting Opportunity!
We are looking for students or young graduates who wish to intern at Ericsson and assist in Radio SW upskilling of ML/AI domain within the Radio software and hardware.
You will work on large data from various tools and contribute to developing a variety of ML/AI implementations. You will have the opportunity to use new technologies/skills to find use cases for AI applications within Radio domain. You will develop new algorithms and tools to increase efficiency of, for example: bug tracking, issue response and resolution for different products.
 
What you will do 
•    Perform data extraction and transformation.
•    Document and maintain analysis and selection methods.
•    Evaluate and propose AI/ML algorithms together with Senior team members for usability.
•    Visualize data with UX principles in mind.
•    Communicate results and recommendations to both technical and non-technical audiences.
 
You will bring
•    Ongoing studies at Bachelor program majored in Software Engineering, Computer Science, Data Science, Communications, Information Technology, Electrical Engineering or similar.
•    Expected graduation in less than a year.
•    Solid programming knowledge
•    English language proficiency (both written and spoken)
•    Self-motivated, driven, results-oriented.
•    Good planning and organizational skills
•    Good communication and presentation skills
•    Open minded and proactive attitude
•    Capability to understand and propose solutions for new and complex problems.
•    Ability to work in teams and Eager to continue growing and learning.

Preferred if you have:
•    Experience or theoretical knowledge in Machine Learning techniques such as reinforcement learning, federated learning, transfer learning, deep learning, imitation learning, multi-agent systems, pattern recognition, classification, random forest, etc.
•    Knowledge of statistical models such as bootstrap, IQR, K-S test, regression, ARIMA, etc.
•    Experience with C++, Python, Java, Bash and ML frameworks such as TensorFlow, PyTorch, Keras, Kubernetes.
•    Understanding of the Linux ecosystem