Machine Learning Engineer

Federato, an innovative AI-driven insurance technology company, is seeking a Machine Learning Engineer to join their mission of defending efficient, equitable insurance for all. The company's platform utilizes deep reinforcement learning to help insurance companies optimize their risk portfolios and make better underwriting decisions.

As a Machine Learning Engineer, you'll be at the forefront of implementing and deploying LLM-powered solutions for specific customer use cases. Your responsibilities will include managing the deployment pipeline, building and maintaining prompt repositories, and leading technical proof of concept projects with prospective customers. This role offers a unique blend of technical ML work and customer interaction.

The ideal candidate should have at least 6 months of relevant internship experience in Machine Learning Engineering, with practical knowledge of NLP models and LLMs. Proficiency in Python and popular ML libraries is essential, as is familiarity with version control and CI/CD pipelines. You'll be working in a fast-paced environment that values learning, adaptability, and a first-principles approach to problem-solving.

This is an excellent opportunity for an entry-level ML engineer to work with cutting-edge technology while making a meaningful impact in the insurance industry. The position offers competitive compensation ($120,000 - $150,000) plus equity, and the flexibility of remote work. Join a well-funded company backed by investors behind successful companies like Salesforce, Veeva, Zoom, and Box.