FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Staff Machine Learning Engineer
Material Security. Design, build, train, and deploy machine learning models to detect sensitive data and malicious threats (phishing emails).
Posted 5/13/2026full-timeRemote • California • 🇺🇸 United StatesLead💰 $225,000 - $255,000 per yearWebsite
Tech Stack
Tools & technologiesPandas
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
✓ Tailor your resumeApplicant 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