About Avolta

Avolta is a leading innovator in security solutions, dedicated to protecting critical assets and ensuring safety across various industries. With a strong focus on automotive security, we specialize in developing cutting-edge technologies, such as advanced anti-theft systems, to safeguard vehicles and enhance driver and passenger safety. By leveraging artificial intelligence, machine learning, and computer vision, we deliver innovative solutions that address complex security challenges in the automotive sector and beyond. Our team is composed of highly skilled professionals who are committed to excellence, integrity, and the mission of creating a safer future.

Position Overview

Avolta is seeking a motivated and talented Machine Learning Student Intern to join our team as part of a co-op program. This internship is designed as an educational and experiential learning opportunity for students passionate about machine learning, particularly computer vision and its applications in security and automotive anti-theft systems.

The internship provides training and applied learning experiences comparable to those available in post-secondary institutions, with a focus on skill development and knowledge transfer rather than organizational benefit. Interns will work under the close guidance of professionals, ensuring a supportive and supervised environment. Please note that this is an unpaid, pro bono opportunity, intended strictly for students seeking co-op credit and academic enrichment.

Key Responsibilities

• Assist in the development and implementation of machine learning models, with a focus on computer vision applications for security systems, including automotive anti-theft solutions.

• Collaborate with team members to preprocess data, train models, and evaluate their performance.

• Participate in research and development activities to explore new techniques and technologies in machine learning and computer vision.

• Contribute to the documentation and presentation of project findings and results.

• Support the team in optimizing and deploying machine learning models for real-world applications.

• Participate in team meetings and brainstorming sessions to share ideas and insights.

• Uphold the highest standards of professionalism and integrity in all tasks and interactions.

Required Qualifications

• Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

• Basic understanding of machine learning concepts and techniques, with a strong interest in computer vision.

• Proficiency in programming languages such as Python and familiarity with libraries like TensorFlow, PyTorch, or OpenCV.

• Strong problem-solving skills and the ability to think critically and creatively.

• Excellent communication and teamwork skills.

• High level of responsibility, maturity, and a willingness to learn.

• Must be eligible to receive co-op credit through your academic institution.

Preferred Qualifications

• Familiarity with data preprocessing, model training, and performance evaluation.

• Basic knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud).

• Interest in automotive security, anti-theft technologies, or related fields.

• Experience with version control systems like Git.

Why Join Avolta as an Intern?

• Gain hands-on experiential training in real-world machine learning and computer vision applications.

• Collaborate with a team of passionate, talented, and dedicated professionals who act as mentors and supervisors.

• Work toward clearly defined learning outcomes, enhancing your academic and career development.

• Acquire transferable skills applicable to a broad range of future roles in technology, AI, and security.

• Internship structured to meet Canadian unpaid internship standards, providing recognized experiential value while ensuring compliance.

Compliance with Unpaid Internship Standards

This internship fully complies with Canadian federal and provincial guidelines for unpaid internships, as recommended by CACEE and related frameworks. Specifically:

• The internship is designed for the benefit of the intern, providing structured supervision and clearly defined learning outcomes.

• Avolta derives minimal direct benefit during the training process, as the focus is on experiential education.

• The intern does not displace employees and is not entitled to a paid role upon conclusion of the internship.

• The skills and experience gained are transferable to a wide range of future employment opportunities within AI, machine learning, and computer vision.

• The internship is offered for a defined period of time and includes regular professional mentoring.

In addition, this internship is compliant with the Canada Labour Code (federal labour standards) regarding unpaid student internships. As stated under federal law, “If you are a student intern, the Canada Labour Code does not require that you be paid and the activities you perform for an employer are not considered to be work.” Accordingly, this internship is unpaid by design and focused entirely on training and education.

From time to time, Avolta may choose to provide support such as a stipend, allowance, or reimbursement for expenses, but these are not connected to the activities performed during the internship.

How to Apply

If you are a motivated student with a passion for machine learning and computer vision, we invite you to apply for this co-op internship. Please submit your application directly on this page by providing your resume, a brief statement of interest, and any relevant project portfolios or GitHub links.

Avolta is an equal opportunity organization. We celebrate diversity and are committed to creating an inclusive environment for all interns and team members.