TurboMail · Remote ·
Founding AI Engineer at TurboMail leads development of on-device AI features for a privacy-first email client — building and optimizing ML models for email summarization, reply drafting, and conversational inbox AI using Python, React, Electron, and HuggingFace Transformers.
Company Description
TurboMail is an AI-powered email client revolutionizing email privacy by ensuring all AI functionalities operate entirely on your device without relying on cloud-based services. Unlike traditional email applications, TurboMail prioritizes user privacy by avoiding data harvesting and external processing. The platform offers features like automatic email summarization, conversational AI for your inbox, personalized reply drafting, AI-assisted calendar synchronization, and local web search with summarization. TurboMail supports popular email providers like Gmail, Outlook, and any IMAP platform, and is compatible with macOS and Windows. Built with cutting-edge technologies such as Electron, React, Python, and HuggingFace Transformers, TurboMail delivers a secure, seamless, and feature-rich experience. Role Description
This is a full-time, on-site position based in New York, NY for a Founding AI Engineer. The Founding AI Engineer will lead the development of TurboMail's AI functionalities, overseeing the design, training, and optimization of machine learning models with a focus on on-device performance. Daily responsibilities include implementing scalable software architectures, refining natural language processing (NLP) applications, and enhancing tools for email summarization, scheduling automation, and voice response systems. Collaboration with cross-functional teams and contributing to product growth will be critical to this role's success. Qualifications
Strong foundation in Computer Science, with a focus on software development and scalable architectures In-depth understanding and experience in Pattern Recognition and Neural Networks Expertise in Natural Language Processing (NLP) and hands-on experience with related frameworks and tools Proficiency in software development languages such as Python, along with frameworks like React and Electron Ability to optimize AI models for on-device performance using platforms like HuggingFace Transformers Demonstrated problem-solving skills and a passion for data privacy and security Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field