Staff ML Security Detection Engineer

United States Digital Space LLC; Seattle, San Francisco (WA, CA); On-site; USD 180,000 - 240,000; Full time

Job summary

United States Digital Space LLC is seeking a Staff Security Detection Engineer to design and scale ML-driven detection across security telemetry. You will own the model lifecycle from feature engineering to production rollout, collaborating with SOC, Fraud, and Security teams to deliver low-noise, high-confidence detections.

The role emphasizes data-lake engineering, real-time and batch processing, and governance of models with explainability and drift monitoring.

Qualifications

• 7+ years hands-on experience building and operating ML models for detection or anomaly detection in production.

Responsibilities

• Design, build, and maintain ML models for anomaly detection with measurable precision/recall targets.

Skills

Machine learning

Python

SQL

Data lakes

Big data

Written communication

MITRE ATT&CK familiarity

Education

Bachelor's degree in CS, data science, or related field

Tools

Snowflake

Databricks

Spark

S3/GCS

Pandas

Scikit-learn

PyTorch or TensorFlow

Job description

United States Digital Space LLC is seeking a Staff Security Detection Engineer to design and scale ML-driven detection across security telemetry. You will own the model lifecycle from feature engineering to production rollout, collaborating with SOC, Fraud, and Security teams to deliver low-noise, high-confidence detections.

The role emphasizes data-lake engineering, real-time and batch processing, and governance of models with explainability and drift monitoring.