Keeper Security, Inc.
Machine Learning Engineer, Cybersecurity
Keeper Security, Inc., Cameron Park, California, United States
Overview
We are seeking a highly motivated and experienced Machine Learning Engineer to join our AI & Threat Analytics team. This is a 100% remote position.
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.
Keeper Security is transforming cybersecurity for organizations globally with zero-trust privileged access management built with end-to-end encryption. Keeper’s cybersecurity solutions are FedRAMP and StateRAMP Authorized, SOC 2 compliant, FIPS 140-2 validated, as well as ISO 27001, 27017 and 27018 certified. Keeper deploys in minutes, not months, and seamlessly integrates with any tech stack to prevent breaches, reduce help desk costs and ensure compliance. Trusted by millions of individuals and thousands of organizations, Keeper is the leader for password, passkey and secrets management, privileged access, secure remote access and encrypted messaging. Learn how our zero-trust and zero-knowledge solutions defend against cyber threats.
Responsibilities
Build, fine-tune, and deploy models using LLMs, transformers, and sequence architectures (e.g., Llama, Qwen, BERT, LSTM, TCN)
Build classifiers for behavioral and temporal signals from user and system activity data
Generate and augment datasets using synthetic, multilingual data and edge-case coverage
Scale ML experimentation and deployment pipelines with MLOps best practices
Create systems targeting cloud, on-prem, and self-hosted environments to support client-side inference
Continuously improve model performance, latency, and reliability
Implement secure, privacy-aware inference strategies aligned with zero-trust principles
Collaborate with cross-functional teams to align ML efforts with product goals
Write clean, maintainable code and provide comprehensive documentation
Qualifications
5+ years of professional experience in ML engineering or research - focused on cybersecurity, NLP, or sequence/temporal modeling
Strong coding skills in Python, JavaScript (React), or a similar language relevant to ML
Hands-on experience with using and fine-tuning large language models, embeddings, or multilingual models for real-world cybersecurity tasks
Proficiency with ML frameworks like TensorFlow, PyTorch, and Hugging Face Transformers
Familiarity with MLOps, model deployment, and monitoring practices
Experience with model validation and metrics (precision, recall, F1-score)
Familiarity with cloud platforms (AWS, GCP, Azure)
Knowledge of secure coding, encryption, zero-trust, and zero-knowledge principles
Excellent problem-solving and communication skills
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related discipline, or equivalent experience
Due to this role's involvement in GovCloud, all applicants must be a US Person
Benefits
Medical, Dental & Vision (Inclusive of domestic partnerships)
Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
Voluntary Short/Long Term Disability Insurance
401k (Roth/Traditional)
A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
Above market annual bonuses
Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Classification: Exempt
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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.
Keeper Security is transforming cybersecurity for organizations globally with zero-trust privileged access management built with end-to-end encryption. Keeper’s cybersecurity solutions are FedRAMP and StateRAMP Authorized, SOC 2 compliant, FIPS 140-2 validated, as well as ISO 27001, 27017 and 27018 certified. Keeper deploys in minutes, not months, and seamlessly integrates with any tech stack to prevent breaches, reduce help desk costs and ensure compliance. Trusted by millions of individuals and thousands of organizations, Keeper is the leader for password, passkey and secrets management, privileged access, secure remote access and encrypted messaging. Learn how our zero-trust and zero-knowledge solutions defend against cyber threats.
Responsibilities
Build, fine-tune, and deploy models using LLMs, transformers, and sequence architectures (e.g., Llama, Qwen, BERT, LSTM, TCN)
Build classifiers for behavioral and temporal signals from user and system activity data
Generate and augment datasets using synthetic, multilingual data and edge-case coverage
Scale ML experimentation and deployment pipelines with MLOps best practices
Create systems targeting cloud, on-prem, and self-hosted environments to support client-side inference
Continuously improve model performance, latency, and reliability
Implement secure, privacy-aware inference strategies aligned with zero-trust principles
Collaborate with cross-functional teams to align ML efforts with product goals
Write clean, maintainable code and provide comprehensive documentation
Qualifications
5+ years of professional experience in ML engineering or research - focused on cybersecurity, NLP, or sequence/temporal modeling
Strong coding skills in Python, JavaScript (React), or a similar language relevant to ML
Hands-on experience with using and fine-tuning large language models, embeddings, or multilingual models for real-world cybersecurity tasks
Proficiency with ML frameworks like TensorFlow, PyTorch, and Hugging Face Transformers
Familiarity with MLOps, model deployment, and monitoring practices
Experience with model validation and metrics (precision, recall, F1-score)
Familiarity with cloud platforms (AWS, GCP, Azure)
Knowledge of secure coding, encryption, zero-trust, and zero-knowledge principles
Excellent problem-solving and communication skills
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related discipline, or equivalent experience
Due to this role's involvement in GovCloud, all applicants must be a US Person
Benefits
Medical, Dental & Vision (Inclusive of domestic partnerships)
Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
Voluntary Short/Long Term Disability Insurance
401k (Roth/Traditional)
A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
Above market annual bonuses
Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Classification: Exempt
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