ML AI Radio SW CoOp

Ericsson

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Special Commitments
Skills

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
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Confirmed 10 hours ago. Posted 6 days ago.

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