Our mission at Mastertech.ai is to use AI to make auto repairs faster, easier and safer for shops and DIYers. Auto repair shops are struggling to keep up with the demands and servicing increasingly complex vehicles on the road.

Today, 70% of all auto services and repairs are performed at independent shops, where the shop needs to be able to diagnose and repair any of the 60,000 unique models of vehicle that exist today. Additionally, there's a labor shortage of qualified automotive technicians in the industry, leading to misdiagnosis, lower quality service and cost overruns. Similar to how AI is making significant advances in medical diagnostics, Mastertech.ai aims to be the leader for AI diagnostics for vehicles by aggregating all sources of data to help technicians quickly and accurately diagnose vehicle issues, assist with performing repairs, leading to better results, lower cost, and safer vehicles.

We're using AI and computer vision to help with the vehicle inspection process, we're using vehicle history data and OEM specifications to discover recommended services for the vehicle.

We're building better communication and transparency between shops and customers to track repair status, and help bridge the gap with car owners to understand vehicle diagnosis and repair options. Long term, our goal is to reduce the overall cost and complexity for auto repairs, help improve quality and safety for auto repair shops, and lower complexity and cost for car ownership.

We're looking for a dynamic and innovative Founding AI Engineer to join our pioneering team. In this role, you will play a critical part in developing and deploying cutting-edge AI solutions that drive our platform. As a key member of our startup, you'll work closely with our leadership team to build and scale our AI capabilities, from initial concept through to production.

Responsibilities:

• AI Model Development: Design, develop, and deploy machine learning models to solve complex problems in various domains.
• Data Pipeline Management: Build and maintain robust data pipelines, ensuring the efficient processing and integration of data for model training and inference.
• Algorithm Optimization: Optimize algorithms for performance and scalability, tailoring solutions to meet the needs of our platform and users.
• Research and Innovation: Stay current with the latest research in AI and machine learning, and apply innovative techniques to enhance our technology.
• Collaboration: Work closely with product managers, data scientists, and other engineers to align AI development with business goals and customer needs.
• Mentorship and Leadership: Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.

Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience: Proven experience in developing and deploying AI models, with a strong portfolio of projects or publications.
• Skills: Proficiency in programming languages such as Python or R, and experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Knowledge: Strong understanding of data structures, algorithms, and statistical methods. Experience with big data technologies and cloud platforms is a plus.
• Soft Skills: Excellent problem-solving skills, strong communication abilities, and a collaborative team player with a proactive mindset.