Staff Machine Learning Engineer

Material Security

Machine Learning Engineer at Material Security detecting sensitive data and threats through building and deploying ML models. Collaborating with engineers and designers to enhance detection capabilities.

Posted 5/13/2026full-timeRemote • California • 🇺🇸 United StatesLead💰 $225,000 - $255,000 per yearWebsite

Tech Stack

Tools & technologies

Pandas

About the role

Key responsibilities & impact

Design, build, train, and deploy machine learning models to detect sensitive data and malicious threats (phishing emails).
Write production-level code to convert your ML models into working pipelines and participate in code reviews to ensure code quality and distribute knowledge.
Architect scalable, reliable, and maintainable machine learning pipelines, integrating seamlessly with existing backend systems.
Explore recent advancements in generative AI and LLMs as potential additions to our detection capabilities.
Work closely with machine learning engineers, product managers, designers, data scientists, and software engineers to align machine learning initiatives with business goals.
Stay ahead of the curve by exploring new algorithms, technologies, and frameworks to enhance our detection models.
Contribute to great engineering culture through active participation and mentorship.

Requirements

What you’ll need

B.S., M.S. or Ph.D. in Computer Science or related technical field or relevant work experience.
8+ years (or Ph.D. with 6+ years) of experience in machine learning, data science, or related fields, with at least 3 years in a senior or staff engineering role.
Deep understanding of supervised/unsupervised learning techniques and LLMs
Strong experience writing efficient and effective data pipelines.
Practical knowledge of how to build efficient end-to-end ML workflows and a strong drive to own the entire process of model development from conception through deployment, to maintenance..
Experience with machine learning libraries (e.g., scikit, Pandas)

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdata sciencesupervised learningunsupervised learningdata pipelinesend-to-end ML workflowsmodel developmentscikitPandasgenerative AI

Soft Skills

mentorshipcollaborationcommunicationengineering culturecode reviewsknowledge distributionproblem-solvingadaptabilityinitiativeleadership