Machine Learning Engineer

at Keeper Security, Inc.
  • Remote - United States

Remote

Software Development

Mid-level

Job description

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

  • 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”

  • 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

Share this job:
Please let Keeper Security, Inc. know you found this job on Remote First Jobs 🙏

Benefits of using Remote First Jobs

Discover Hidden Jobs

Unique jobs you won't find on other job boards.

Advanced Filters

Filter by category, benefits, seniority, and more.

Priority Job Alerts

Get timely alerts for new job openings every day.

Manage Your Job Hunt

Save jobs you like and keep a simple list of your applications.

Search remote, work from home, 100% online jobs

We help you connect with top remote-first companies.

Search jobs

Hiring remote talent? Post a job

Frequently Asked Questions

What makes Remote First Jobs different from other job boards?

Unlike other job boards that only show jobs from companies that pay to post, we actively scan over 20,000 companies to find remote positions. This means you get access to thousands more jobs, including ones from companies that don't typically post on traditional job boards. Our platform is dedicated to fully remote positions, focusing on companies that have adopted remote work as their standard practice.

How often are new jobs added?

New jobs are constantly being added as our system checks company websites every day. We process thousands of jobs daily to ensure you have access to the most up-to-date remote job listings. Our algorithms scan over 20,000 different sources daily, adding jobs to the board the moment they appear.

Can I trust the job listings on Remote First Jobs?

Yes! We verify all job listings and companies to ensure they're legitimate. Our system automatically filters out spam, junk, and fake jobs to ensure you only see real remote opportunities.

Can I suggest companies to be added to your search?

Yes! We're always looking to expand our listings and appreciate suggestions from our community. If you know of companies offering remote positions that should be included in our search, please let us know. We actively work to increase our coverage of remote job opportunities.

How do I apply for jobs?

When you find a job you're interested in, simply click the 'Apply Now' button on the job listing. This will take you directly to the company's application page. We kindly ask you to mention that you found the position through Remote First Jobs when applying, as it helps us grow and improve our service 🙏

Apply