Machine Learning Engineer

Fairmatic is transforming the auto insurance industry through innovative use of data and AI to create personalized insurance options and promote safer driving. With their predictive risk models trained on 200 billion miles of driving data, they're making significant strides in revolutionizing fleet safety and insurance.

As a Machine Learning Engineer on the Data Science team, you'll be at the core of Fairmatic's mission to make roads safer. This role combines the excitement of working with cutting-edge AI technology with the meaningful impact of improving road safety. You'll be developing and productizing machine learning models for predicting claims frequency and severity, while also working on innovative GenAI services.

The position offers a unique opportunity to work with a global team of technologists and problem solvers, backed by $88M in funding. You'll be involved in every aspect of the ML lifecycle, from experimentation to production deployment, working closely with data scientists and product teams to create solutions that directly impact fleet safety and customer experience.

The ideal candidate brings 3+ years of ML experience, strong Python skills, and expertise in cloud frameworks. You'll be joining a collaborative, humble, and impact-obsessed culture where your work directly contributes to making roads safer, one fleet at a time. The role offers competitive benefits including unlimited PTO, health insurance, and various allowances, all while working in a flexible hybrid environment.

If you're passionate about using AI for positive social impact and want to be part of a rapidly growing company that's revolutionizing an industry, this role at Fairmatic presents an excellent opportunity to make your mark.