Machine Learning Engineer

We are seeking a highly motivated and experienced Machine Learning Engineer to join our AI & Threat Analytics team. This is a 100% remote position with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro area!

Keeper's cybersecurity software is trusted by millions of people and thousands of organizations, globally. Keeper is published in 21 languages and is sold in over 120 countries. Join one of the fastest-growing cybersecurity companies and play a critical role in building Keeper's next-generation autofill and classification models in our browser extension.

As a Machine Learning Engineer, you will develop advanced autofill systems, focusing on multi-lingual text classification of HTML input fields using state-of-the-art techniques such as autoencoders and fine-tuned language models. You'll ensure that Keeper's autofill features are fast, accurate, and intuitive, providing a seamless experience to millions of users globally. You'll collaborate closely with cross-functional teams to implement and optimize high-performance models that elevate Keeper's product offerings.

Responsibilities include designing and implementing ML models for real-time DOM structure and form-field detection, fine-tuning large language models for text classification, building and optimizing feature extraction pipelines, evaluating and fine-tuning models, deploying models in the browser extension, continuously improving model performance, troubleshooting and optimizing production models, staying up-to-date with new ML frameworks, scaling ML pipelines, collaborating with cross-functional teams, and writing clean, maintainable code with comprehensive documentation.

Join Keeper Security and be part of a team that's transforming cybersecurity for people and organizations worldwide!