Principal Machine Learning Engineer- Perception
Motional- Full Time
- Junior (1 to 2 years)
Candidates should have a strong background in computer vision and machine learning, with experience in designing and building algorithms. Proficiency in coding and developing neural network architectures is essential, along with the ability to work with large datasets and machine learning infrastructure. Experience in deploying algorithms on edge devices with limited compute resources is also required.
The Research Engineer will translate open-ended, real-world problems into well-defined machine learning challenges. They will design, build, and code computer vision-based algorithms, develop novel neural network architectures, and implement robust 3D geometry-based vision algorithms. Additionally, they will analyze results to continuously improve accuracy and speed, while deploying algorithms and machine learning pipelines at scale.
Simplifies home and auto insurance shopping
Matic simplifies the process of obtaining home and auto insurance by providing a digital platform that allows consumers to quickly compare quotes from a network of 40 A-rated insurance carriers. Customers enter their information, and Matic's system retrieves various quotes in seconds, helping them find the best rates and save an average of $639. Unlike traditional insurance shopping, Matic streamlines the experience, saving time and money for users. The company also partners with mortgage servicing organizations to ensure accurate home information, which enhances the accuracy of the quotes. Matic stands out from competitors with its focus on workplace culture, having received multiple awards for its environment where employees feel valued. The goal of Matic is to make the insurance shopping experience quick, easy, and cost-effective for consumers.