Machine Learning Engineer

Company Description

TurboMail is an AI-powered email client designed to protect user privacy by running all AI processes locally on devices, with no data sent to external servers or APIs. It offers features like automatic email summarization, AI-driven inbox prioritization, personalized email drafting, local web search summaries, and high-quality text-to-speech functionality. TurboMail seamlessly integrates with Gmail, Outlook, and other IMAP providers while supporting macOS and Windows platforms. Built using cutting-edge technologies such as Electron, React, Python, HuggingFace Transformers, and local LLMs, we aim to deliver secure, efficient, and personalized email experiences. At TurboMail, we empower users with control over their inbox, AI, and data.

Role Description

This is a full-time, on-site role located in New York, NY for a Machine Learning Engineer. The role involves designing, implementing, and optimizing machine learning models, with a focus on local execution and user privacy. Daily tasks include working on pattern recognition, creating and refining machine learning algorithms, training neural networks, and utilizing statistical methods to improve model performance. You will collaborate with a cross-functional team to build innovative AI-driven features for TurboMail’s email client.

Qualifications

• Strong understanding of Pattern Recognition and Neural Networks
• Proficient knowledge of Computer Science, including data structures and programming
• In-depth knowledge of Statistics and Algorithms
• Experience with frameworks like HuggingFace Transformers or other Local LLMs
• Ability to develop scalable and privacy-preserving machine learning solutions
• Proven problem-solving and analytical skills
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field
• Experience working with technologies such as Python, React, and Electron is a plus
• Excellent communication and teamwork abilities