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 for students who are passionate about machine learning, with a particular interest in computer vision and its applications in security, including automotive anti-theft systems. As an intern, you will work closely with our experienced team to gain hands-on experience in developing and deploying machine learning models, contributing to real-world projects that have a meaningful impact. Please note that this is a pro bono opportunity, ideal for students seeking to gain valuable experience and co-op credit while contributing to impactful work.

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 experience working on real-world projects in the field of machine learning and computer vision.
• Collaborate with a team of passionate, talented, and dedicated professionals.
• Contribute to innovative solutions that have a direct impact on automotive security and beyond.
• Develop valuable skills and knowledge that will enhance your academic and professional career.
• Potential for future opportunities within Avolta upon successful completion of 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 employer. We celebrate diversity and are committed to creating an inclusive environment for all interns and team members.