Find Keeper Security, Inc. Mid-Level Software Engineer software engineering jobs

Cybersecurity company providing password management, secrets management, privileged access, secure remote access and encrypted messaging solutions.

Keeper Security, a leading cybersecurity company trusted globally, is seeking a Machine Learning Engineer for their AI & Threat Analytics team. This 100% remote position offers hybrid options in El Dorado Hills, CA or Chicago, IL. The role focuses on developing advanced ML systems for threat detection, anomaly detection, and risk assessment in privileged access management (PAM). You'll work with cutting-edge technologies including LLMs and vision-based ML systems to analyze user behavior and detect threats. The position involves building scalable data pipelines, implementing sophisticated ML models, and collaborating with cross-functional teams. Keeper Security's platform is used by millions globally, offering solutions in password management, secrets management, and encrypted messaging. The company operates on zero-trust and zero-knowledge security principles, providing solutions in 21 languages across 120+ countries. This role is crucial in advancing Keeper's security capabilities through AI and machine learning innovations.

Machine Learning Engineer position at Keeper Security focusing on threat detection and security analytics using advanced ML and AI technologies.

Machine Learning Engineer, Threat Detection

Keeper Security, a leading cybersecurity company trusted globally, is seeking a Machine Learning Engineer for their AI & Threat Analytics team. This 100% remote position offers hybrid options in El Dorado Hills, CA or Chicago, IL. The role focuses on developing advanced machine learning models for threat detection, anomaly detection, and risk assessment in privileged access management (PAM). You'll work with cutting-edge technologies including LLMs and vision-based ML systems to analyze user behavior and detect threats. The position requires expertise in data engineering, analytics, and ML operations, collaborating with cross-functional teams to enhance Keeper's security platform. The company provides comprehensive benefits including medical coverage, 401k, and generous PTO. This is an opportunity to join a fast-growing cybersecurity company that serves millions of users and thousands of organizations worldwide, working on next-generation security solutions using zero-trust and zero-knowledge security principles.

Machine Learning Engineer position at Keeper Security focusing on threat detection and security analytics using advanced ML models and LLMs.

Keeper Security, a leading cybersecurity company trusted globally, is seeking an Automation Engineer for a 100% remote position. The company provides innovative solutions in password management, secrets management, and privileged access, serving millions of individuals and thousands of organizations worldwide.

As a QA Automation Engineer, you'll play a crucial role in developing and executing automated test scripts using the Cypress framework, ensuring the quality and functionality of web applications. You'll work with cross-functional teams to implement effective test automation strategies and maintain test suites that align with application updates.

The ideal candidate brings 3+ years of programming experience with Java, JavaScript, and Python, along with strong knowledge of Cypress and testing frameworks. You'll be responsible for end-to-end testing, defect tracking, and process automation, while collaborating with software engineers to optimize development.

Keeper Security offers comprehensive benefits including medical, dental, and vision insurance, life insurance, 401(k) options, and a generous PTO plan. The company promotes an inclusive environment and is committed to diversity. This role presents an excellent opportunity to join a fast-growing cybersecurity company that's making a global impact in digital security.

Remote QA Automation Engineer position at Keeper Security, developing automated test scripts and ensuring quality across web applications.

QA Automation Engineer

Keeper Security is transforming cybersecurity for people and organizations around the world, providing affordable and easy-to-use solutions built on a foundation of zero-trust and zero-knowledge security.

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!

Join Keeper Security as a Machine Learning Engineer to develop advanced autofill systems and classification models for their cybersecurity software.

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:
- Design and implement ML models for real-time DOM structure and form-field detection.
- Fine-tune large language models for text classification, using projection layers and pooling.
- Build and optimize feature extraction pipelines for HTML attributes, DOM structures, relationships, and text-based features.
- Evaluate and fine-tune models using metrics like a confusion matrix, ROC/PR curves, and other techniques to optimize accuracy and performance.
- Deploy models in our browser extension to support client-side inference.
- Continuously improve model performance, accuracy, and runtime efficiency.
- Troubleshoot and optimize production models for consistency and reliability.
- Stay up-to-date with new ML frameworks and incorporate improvements.
- Scale ML pipelines and experimentation systems to support millions of users.
- Collaborate with cross-functional teams to align ML efforts with product goals.
- Write clean, maintainable code and provide comprehensive documentation.

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

Join Keeper Security as a Machine Learning Engineer to develop advanced autofill systems and classification models for their browser extension.

Keeper Security, Inc. Mid-Level Software Engineer Software Engineering Jobs

Find Keeper Security, Inc. Mid-Level Software Engineer software engineering jobs