Machine Learning Student Intern

Company: Avolta
Position: Machine Learning Student Intern
Location: Toronto, ON (Hybrid)
Duration: 3-6 months
Application Deadline: September 05, 2023
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 systems. This internship offers a unique opportunity for hands-on experience in the field of machine learning, working alongside experienced professionals to enhance your skills and knowledge.
Responsibilities:
Collaborate with the research and development team to understand the requirements and objectives of the machine learning projects.
Assist in the collection, preprocessing, and analysis of relevant data to train and validate machine learning models.
Develop and implement machine learning algorithms for vehicle security and anti-theft applications.
Fine-tune existing machine learning models and explore new approaches to improve accuracy and performance.
Participate in brainstorming sessions and contribute innovative ideas to enhance our security solutions.
Document and present your work, including methodology, findings, and potential improvements.
Stay updated with the latest advancements in machine learning and security 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.
Solid understanding of machine learning fundamentals and algorithms.
Proficiency in programming languages such as Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Familiarity with data preprocessing techniques and feature engineering.
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 is a plus.
Benefits:
Hands-on experience in a dynamic startup environment.
Opportunity to work on cutting-edge machine learning projects with real-world impact.
Mentorship and guidance from experienced professionals in the field.
Networking opportunities with industry experts and fellow interns.
Potential for continued engagement or full-time opportunities based on performance.