Gradient AI provides underwriting and claims management solutions for group health, property, casualty, and workers' compensation insurers.
This company operates with a remote-first culture, allowing team members to work from anywhere.
Gradient AI pioneers AI solutions for the insurance industry. They leverage a vast data lake of tens of millions of policies and claims. This data is enriched with economic, health, geographic, and demographic signals. Their technology improves underwriting, claims management, and critical insurance processes. You can enhance accuracy, efficiency, and decision-making for carriers, brokers, and consultants. They recently secured $56.1 million in Series C funding.
Gradient AI champions a remote-first work environment, offering flexibility with hybrid options in Boston. They foster a fun, team-oriented startup culture. The company encourages continuous learning and professional growth for all employees. They were recognized as a "Best Place to Work" by Built In multiple times. Expect engagement channels and team practices to build connection across their remote workforce.
You will build and deploy powerful hybrid models using modern deep learning and large language models. Expect to work with big data, federated learning, and unstructured data challenges. They tackle timeseries and sequence modeling problems. Their tech stack includes Python, its core data science ecosystem (Pandas, NumPy, Scikit-learn, LightGBM), and deep learning frameworks like PyTorch or TensorFlow. You will engage with MLOps practices, including experiment tracking, containerization (Docker), model serving, APIs, and CI/CD. Familiarity with SQL and cloud environments like AWS/Azure/Google/Databricks is valued.