Position: Machine Learning Student Intern
Location: Remote
Duration: 3-6 months

Application Deadline: Applications are accepted on a rolling basis throughout the year.

About Avolta:
Avolta is a cutting-edge startup focused on revolutionizing automotive anti-theft security. Leveraging advanced technologies, we are dedicated to creating innovative solutions that safeguard vehicles from theft and unauthorized access. As a dynamic and fast-paced company, we are seeking a talented Machine Learning Student Intern to join our team and contribute to our mission.

Position Overview:
We are seeking a passionate and motivated Machine Learning Student Intern to assist our research and development team in advancing our automotive anti-theft security system, Avolta AutoGuard (AAG). This internship offers a unique opportunity for hands-on experience in machine learning, particularly in computer vision and real-time data processing. You will work alongside experienced professionals to enhance your skills and contribute to the development of innovative security solutions.

Responsibilities:

• Collaborate with the research and development team to understand the requirements and objectives of machine learning projects related to computer vision.
• Assist in the collection, preprocessing, and analysis of image data to train and validate machine learning models for security applications.
• Develop and implement deep learning algorithms (e.g., CNNs) using Python-based frameworks like TensorFlow, PyTorch, and OpenCV.
• Fine-tune existing models and explore new approaches, focusing on improving the accuracy and performance of our machine learning solutions.
• Apply data preprocessing techniques, feature extraction, and image processing to optimize models for various security use cases.
• Participate in brainstorming sessions and contribute innovative ideas for enhancing our security solutions using the latest advancements in machine learning and computer vision.
• Document and present your work, including methodologies, findings, and potential improvements.
• Stay updated with the latest developments in deep learning, computer vision, and security technologies to contribute to the team’s knowledge base.

Qualifications:

• Enrolled in a relevant undergraduate or graduate program in Computer Science, Machine Learning, Data Science, or a related field.
• Strong understanding of machine learning fundamentals, particularly deep learning algorithms such as Convolutional Neural Networks (CNNs).
• Proficiency in Python and experience with machine learning and computer vision libraries (e.g., TensorFlow, PyTorch, OpenCV).
• Familiarity with data preprocessing techniques, feature extraction, and image processing for computer vision tasks.
• Knowledge of real-time processing for edge computing is a plus.
• Experience with electronics (e.g., microcontrollers) and sensors is an advantage.
• Strong problem-solving skills and the ability to work independently as well as collaboratively.
• Excellent communication skills to present findings and ideas effectively.
• Prior projects or coursework related to machine learning, computer vision, or security are a plus.

Benefits:

• Hands-on experience in a dynamic startup environment.
• Opportunity to work on cutting-edge machine learning projects with real-world impact, particularly in the fields of computer vision and security.
• Mentorship and guidance from experienced professionals in machine learning and computer vision.
• Networking opportunities with industry experts and fellow interns.
• Potential for continued engagement or full-time opportunities based on performance.

Compensation:
This role is pro-bono (unpaid). However, we plan to offer paid part- & full-time roles in the future, and internal candidates will be given priority. Please note that our student internships are open only to students enrolled in Canadian colleges and universities.