Who we are:

At Sixfold, we’re giving businesses the benefits of AI-powered decision-making. Our AI handles the leg work while humans spend their time on things they do best. Our product is the world’s first artificial intelligence trained to solve the hardest problems in the insurance industry. Underwriters work with Sixfold to improve their capacity, accuracy, and speed. Sixfold can identify the risks in submissions, prior losses, external data lookups, and more. Sixfold solves the "front-door problem" faced by many carriers, allowing them to more quickly evaluate and rate all submissions, prioritizing the best risks. 

Why we’re excited about this space:

We’re building the AI for insurance underwriters. As generative AI is being used to tackle all types of use cases, insurance has a unique set of challenges. We’re serving a core business function that protects everything from a small business to a large trucking fleet. Our team is made of former founders and operators with experience in insurance, enterprise B2B, eCommerce, and consumer products.

What you’ll do: 

• Collaborate with product managers and software engineers to understand business requirements and develop data-driven solutions.
• Preprocess and clean raw data to ensure quality, consistency, and reliability for analysis and modeling purposes.
• Optimize and fine-tune models by selecting appropriate algorithms, features, and hyperparameters.
• Validate and assess model performance.
• Design and implement end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring.
• Collaborate with platform teams to automate model deployment, scaling, and management processes.

Qualifications:

•  3 years of professional experience as a data scientist, ML engineer, or in a similar role.
• Experience with classical NLP algorithms and transformer-based models
• Hands-on experience with LLMs and Huggingface ecosystem
• Experience with cloud platforms (e.g., AWS, Azure)
• Strong shell scripting skills