Senior Data Scientist, Real-Time Cybersecurity ML

sentinellabs; United States; Hybrid; USD 89,000 - 144,000; Full time

Benefits offered by this job

RSUs and ESPP equity

5 weeks PTO + wellness days

Private medical, life and disability

Job summary

Sentinellabs is seeking a seasoned ML engineer to join a Static AI team that builds production models protecting endpoints and processing billions of events daily across Windows, macOS, Linux, and cloud environments.

The role spans research, engineering, and shipping ML-driven malware detection engines that make sub-second decisions across diverse platforms. Hybrid work in Prague or Brno, or remote within CZ or SK, aligned with EU time zones.

Qualifications

• Three or more years designing, training, and evaluating ML models in production systems.
• Experience building and curating large datasets for training ML models.
• Active daily use of AI tools in your workflow.
• Ability to independently drive projects end-to-end and translate business needs into technical solutions.

Responsibilities

• Design and deliver ML-based detection engines that identify and stop malware in real time.
• Research emerging AI and ML approaches and integrate the most promising advances into the product.
• Build analytics systems that learn from diverse internal and external data sources to improve existing models and create new ones.
• Take ownership of projects from initial research through production deployment.

Skills

ML model development

Dataset curation

Project ownership

Strong communication

Team collaboration

Self-motivated

Education

Degree in CS/Math

Equivalent practical experience

Tools

Spark

PySpark

Databricks

Job description

Sentinellabs is seeking a seasoned ML engineer to join a Static AI team that builds production models protecting endpoints and processing billions of events daily across Windows, macOS, Linux, and cloud environments.

The role spans research, engineering, and shipping ML-driven malware detection engines that make sub-second decisions across diverse platforms. Hybrid work in Prague or Brno, or remote within CZ or SK, aligned with EU time zones.