Company: Avolta
Position: Machine Learning Advisor
Location: Remote (Toronto, ON)

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 advisor to join our team and contribute to our mission.

Position Overview: We are seeking a passionate and motivated Machine Learning advisor to assist our research and development team in advancing our automotive anti-theft security systems. 

Responsibilities:

As a Machine Learning Company Advisor:

• Engage with the research and development team to grasp the requisites and goals of machine learning initiatives.
• Support in gathering, preprocessing, and scrutinizing pertinent data for the training and validation of machine learning models.
• Design and execute machine learning algorithms tailored for vehicle security and anti-theft implementations.
• Refine existing machine learning models and explore novel strategies to enhance accuracy and efficacy.
• Actively participate in ideation sessions, offering inventive suggestions to bolster our security solutions.
• Document and present your contributions comprehensively, detailing methodologies, discoveries, and potential enhancements.
• Keep abreast of the latest developments in machine learning and security, enriching the team’s knowledge repository with valuable insights.

Qualifications:

– Enrolled in a relevant undergraduate or graduate program in Computer Science, Machine Learning, Data Science, or a related field preferred.

– 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).

– Experience with electronics (e.g. microcontrollers) and sensors preferred.

– 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.

– A bachelor’s or master’s degree in computer science, engineering, mathematics, or a related field, with a focus on machine learning, artificial intelligence, or cybersecurity, is typically required. Advanced degrees or relevant certifications 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.

– Mentorship and guidance from experienced professionals in the field.

– Networking opportunities with fellow industry experts and student interns.

The compensation for this advisory role would be pro-bono (unpaid).