Senior Data Scientist- Cybersecurity

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

Role overview

Join a Static AI team that builds production machine learning models protecting millions of endpoints and processing billions of events per day. The work spans research, engineering, and shipping ML-driven malware detection engines that make sub-second decisions across Windows, macOS, Linux, and cloud environments.

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

Requirements

• Degree in Computer Science, Mathematics, or equivalent practical experience
• Experience building and curating large datasets for training ML models, with solid grounding in classical ML and statistics
• Active daily use of AI tools in your workflow
• Three or more years designing, training, and evaluating ML models in production systems
• Ability to independently drive projects end-to-end and translate business needs into technical solutions
• Strong communication skills for working across product, support, and engineering functions
• Comfort operating in a globally distributed team with an all-hands-on-deck mindset

Nice to have

• Cyber domain experience, especially with detection systems or static file analysis
• Cloud infrastructure or MLOps experience
• Hands-on work with Spark, PySpark, or Databricks

Benefits and work setup

• Equity through RSUs and ESPP, plus performance-based bonus
• Flexible time off on top of five weeks PTO, paid wellness days, and short-term sick or nursing leave
• Gender-neutral parental leave
• Private medical, life and disability insurance, pension contribution, and global business travel medical insurance
• Employee Assistance Program, home office allowance, and meal allowance
• Hybrid work in Prague or Brno, or remote within CZ or SK, aligned with EU time zones
• Wellbeing allowance, multi-sport program, and a wellness coach app