# Staff Machine Learning Engineer
**Company:** [Material Security](https://hotfix.jobs/companies/material-security)
**Location:** Remote
**Salary:** $225K-$255K
**Experience:** 8+ years
**Skills:** Machine Learning, LLMs, Generative AI, scikit-learn, pandas, Data Pipelines, Supervised Learning, Unsupervised Learning, FastAPI, Kubernetes, Docker, AWS, GCP, Text Embeddings
**Posted:** 2026-05-13
> Builds, deploys, and maintains ML models to detect phishing, sensitive data, and threats in emails/drives. Requires 8+ years ML experience, strong data pipeline skills, and familiarity with LLMs/generative AI.
## Job Description
## Responsibilities
- Design, build, train, and deploy machine learning models to detect sensitive data and malicious threats (phishing emails).
- Write production-level code to convert ML models into working pipelines and participate in code reviews.
- Architect scalable, reliable, and maintainable machine learning pipelines, integrating with existing backend systems.
- Explore recent advancements in generative AI and LLMs for detection capabilities.
- Work closely with machine learning engineers, product managers, designers, data scientists, and software engineers.
- Stay ahead with new algorithms, technologies, and frameworks.
- Contribute to engineering culture through participation and mentorship.

## Requirements
**Must Haves**
- 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 building efficient end-to-end ML workflows from conception through deployment and maintenance.
- Experience with machine learning libraries (e.g., scikit-learn, Pandas).

**Nice to Haves**
- Experience in API development on top of FastAPI.
- Experience tracking text embedding modeling.
- Strong knowledge of cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes).

## Compensation
$225,000-255,000
**Apply:** https://hotfix.jobs/jobs/staff-machine-learning-engineer-at-material-security-91c0f2b0-711c-4ab6-b2d8-2870c1b4ab79
**Canonical:** https://hotfix.jobs/jobs/staff-machine-learning-engineer-at-material-security-91c0f2b0-711c-4ab6-b2d8-2870c1b4ab79