United States Remote (Global) Full-time

Keeper Security, Inc. is hiring a Machine Learning Engineer, Cybersecurity

About the Role

Keeper Security, Inc. is hiring a Machine Learning Engineer to join our AI & Threat Analytics team. You will be responsible for building and deploying Keeper's next-generation autofill and classification models directly within our browser extension. This role focuses on designing models for real-time detection, classification, and analysis of elevated access events, emphasizing sequence modeling, temporal anomaly detection, and GenAI-powered features.

What You'll Do

  • 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.

What We're Looking For

  • 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.
  • Must be a 'US Person' due to involvement in GovCloud.

Technical Stack

  • Languages: Python, JavaScript, React
  • ML Frameworks: TensorFlow, PyTorch, Hugging Face Transformers
  • Infrastructure: AWS, GCP, Azure
  • Model Architectures: LLMs, Transformers, BERT, LSTM, TCN

Team & Environment

You will join the AI & Threat Analytics team, focusing on building advanced security features.

Benefits & Compensation

  • 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)
  • Generous PTO plan that celebrates commitment and seniority (including paid Bereavement/Jury Duty, etc)
  • Above market annual bonuses

Work Mode

This role supports a global work mode.

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.

Required Skills
PythonTensorFlowPyTorchHugging Face TransformersLLMsAWSGCPAzureMachine LearningCybersecurityReactJavaScriptData EngineeringModel Deployment
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About company
Keeper Security, Inc.

Keeper Security transforms cybersecurity for people and organizations around the world. Keeper’s affordable and easy-to-use solutions are built on a foundation of zero-trust and zero-knowledge security to protect every user on every device.

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Posted 7 months ago