ML AI Radio SW CoOp
Ericsson
About Us
Machine Learning AI Radio Software Developer
Location: Montreal, QC – Hybrid
Length: 4-8 Months
Start Date: September 2nd, 2025
At this time, Ericsson Canada Inc. does not provide immigration assistance/sponsorship now or in the future for this position.
** Request: Please indicate in your application resume, or a cover letter, how many months you are available for. Please include your most recent transcripts in your application.
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 usecases for AI applications within Radio domain. You will contribute to develop new algorithms and tools to increase efficiency of, for example: bug tracking, issue response and resolution for different products.
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 or Master Program majored in Software Engineering, Computer Science, Data Science, Communications, Information Technology, Electrical Engineering or similar
2.7 BPA or equivalent
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 Technical Competencies
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
Experience with C++, Python, Java, Bash and ML frameworks such as TensorFlow, PyTorch, Keras, Kubernetes. Experience with AWS is a plus.
Understanding of the Linux ecosystem
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.
If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.mana@ericsson.com.
DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.
Primary country and city: Canada (CA) || Ottawa
Job details: Developer
Compensation and Benefits at Ericsson
At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.
Your Pay
The salary offered is dependent on various factors including, but not limited to, location, and the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience.
ADD for Canada BC only
The salary range for this position is
• LOCATION: $GEOZONEMIN - $GEOZONEMAX