Data / ML Internship

Machine Learning Student Intern

at Avolta Inc.

📍 Location Toronto, Ontario Hybrid
📋 Details Intern
📅 Posted

About the Role

Develop ML models, preprocess data, evaluate performance improvements

About Avolta Inc.

Security tech company focused on automotive AI

Full Description

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.

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