Job Url: https://www.remoterocketship.com/company/jerry-ai/jobs/staff-machine-learning-engineer-united-states-remote Job Description: Jerry Website LinkedIn All Job Openings Jerry is a personal car assistant that simplifies car ownership by offering a platform for managing car insurance, repair estimates, and driving improvements. Through its services like PriceProtect, GarageGuard, and DriveShield, Jerry helps users compare car insurance quotes from over 55 insurers, receive maintenance reminders, and track their driving habits to earn rewards. Trusted by over 5 million drivers, Jerry aims to make the car ownership experience easier and more affordable while ensuring user data remains secure. automotive • cars • insurance • mobile application • fintech 201 - 500 employees Founded 2017 ☁️ SaaS Staff Machine Learning Engineer 2 hours ago 🌵 Arizona – Remote 🏄 California – Remote +13 more states 💵 $180k - $240k / year ⏰ Full Time 🔴 Lead 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor Apply Now Receive Emails with Similar Jobs Report problem 📋 Description • Architect and deploy advanced ML models with real-world applications (e.g., model & predict user behavior, optimize chatbot & voicebot using LLMs and custom components) • Develop and architect complex machine learning models to address critical business challenges • Take ownership of the end-to-end modeling process from ideation to deployment and maintenance • Conduct thorough data preparation and analysis to ensure quality and relevance of input data • Collaborate closely with cross-functional teams including Product and Data Engineering to productize and deploy models into production • Contribute to large-scale company initiatives and solve previously untackled problems • Report directly to the cofounder/CTO and help scale the company from 5M to 50M customers 🎯 Requirements • PhD in Physics or related discipline • 5+ years of experience building and deploying models from scratch • Deep understanding of machine learning algorithms and techniques • Experience architecting and deploying advanced ML models, including LLMs and chatbot/voicebot components • Experience with end-to-end modeling: ideation to deployment and maintenance • Strong analytical and problem-solving skills • Ability to conduct data preparation and analysis • Experience collaborating with Product and Data Engineering to productize models • Passion for real-world application of machine learning • Authorization to work in the U.S. or Canada (application asks about this) 🏖️ Benefits • health, dental, and vision coverage • paid time off • paid parental leave • 401(K) plan with employer matching • wellness benefits • equity opportunities / equity grants • comprehensive benefits package for regular employees