Keeper Security, Inc.KI

Machine Learning Engineer, PEDM

Keeper Security is a cybersecurity company providing zero-trust and zero-knowledge security software for password management, secrets management, privileged access, and secure remote access. They serve millions of individuals and thousands of businesses globally.

Keeper Security, Inc.

Employee count: 201-500

United States only

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.

About Keeper

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 at KeeperSecurity.com.

About the Role

We are seeking a passionate Machine Learning Engineer to help shape and lead innovation in Privilege Elevation and Delegation Management (PEDM). You’ll design and deploy models that detect, classify, and analyze elevated access events and user behaviors in real time. You will work on sequence and behavior modeling, temporal anomaly detection, and GenAI powered features that provide intelligent access decisions with minimal false positives, maximizing security, visibility, and usability.

This is your chance to build production-grade, privacy-preserving AI systems that operate at scale powering our product suite and backend intelligence engines with LLMs, transformers, and time-series models.

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

Requirements

  • 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

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

United States +/- 0 hours

About Keeper Security, Inc.

Learn more about Keeper Security, Inc. and their company culture.

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At the heart of Keeper Security is a mission to transform cybersecurity for people and organizations around the world. Founded in 2009 by Darren Guccione and Craig Lurey, the company was born from the idea of creating a secure and easy-to-use password manager and digital vault. This vision has since expanded to encompass a comprehensive suite of zero-trust and zero-knowledge security solutions. Keeper's culture is built on a foundation of innovation, creativity, and boldness. They are a global team, passionate about addressing the critical unmet needs of the cybersecurity market. The company actively fosters a diverse and inclusive environment, believing that varied perspectives fuel their drive for excellence. Team members are encouraged to be coachable, intuitive, persistent, and team-driven, contributing to a collaborative and supportive workplace.

Keeper Security invests significantly in the training and development of its employees, starting from their first day and continuing throughout their careers. This commitment to growth extends to their product philosophy, which emphasizes user-friendliness and robust protection. Their solutions, including password management, secrets management, privileged access management, secure remote access, and encrypted messaging, are designed to deploy in minutes and seamlessly integrate with any tech stack. This approach aims to prevent breaches, reduce help desk costs, and ensure compliance for their millions of individual users and thousands of organizational clients. The company's leadership team brings deep expertise in cybersecurity software, cloud computing, and mobile device technologies, guiding Keeper's commitment to customer success and its relentless pursuit of cybersecurity innovation. Keeper's work model is designed to maximize professional development and performance, offering a hybrid structure that includes in-office, work-from-home, and remote options, tailored to individual roles and locations.

Employee benefits

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401(K)

Keeper Security offers a 401(K) plan.

Paid holidays

Keeper Security offers paid holidays.

Wellness perks

Keeper Security offers wellness perks.

Vision Coverage

Keeper Security provides vision coverage.

View Keeper Security, Inc.'s employee benefits
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Keeper Security, Inc. hiring Machine Learning Engineer, PEDM • Remote (Work from Home) | Himalayas