LULA is hiring a
Senior Full Stack Machine Learning Engineer

Summary

The job is for a Senior Full Stack Machine Learning Engineer at LULA, a dynamic and rapidly growing insurance industry startup. The role involves managing machine learning projects from start to finish, building unique datasets, innovating ways to benchmark and evaluate LLMs, and scaling customer-facing products.

Requirements

• 5+ years of engineering experience
• Experience in a start-up or a similar fast-paced environment
• Deep understanding of a range of ML techniques (LLMs, RLHF), areas (NLP, Speech), and tools (pytorch)
• Maintain strong awareness of the state of the art, and can select an appropriate algorithm, tool, or technique for a given problem and scale
• Proficiency with web (full-stack) technologies, especially Python; TypeScript is a plus
• Experience implementing Machine Learning solutions, whether out-of-the-box or in-house
• Familiarity with cloud services (AWS/Azure/Google Cloud) and how to leverage them to expedite development
• Track record of building customer-facing products
• Experience designing products from scratch alongside product and design teams

Responsibilities

• Take charge of machine learning projects from start to finish, including data discovery, design, implementation, and deployment
• Build unique datasets to train and test new ML capabilities
• Device new and innovate ways to benchmark and evaluate LLMs for novel usecases
• Take a skateboard → scooter → bike → motorcycle approach to go from customer focused prototypes to scalable production grade services
• Share your insights and experiments proactively