Description

You will develop core detection technology by applying machine learning and deep learning to combat cyber threats. You own the end-to-end lifecycle of detection models, from data engineering to deployment.

Responsibilities

• Train and evaluate models using vast datasets of real threat data.
• Design and implement features to improve endpoint visibility and engineering support.
• Collaborate with multiple engineering teams to build new detection capabilities.
• Lead technical initiatives and mentor team members as a staff-level engineer.
• Research and implement solutions using Big Data infrastructures.

Required Skills

• 5+ years of experience in the cybersecurity field.
• 2+ years solving complex problems using modern AI/ML techniques.
• Proven experience designing, training, and evaluating models.
• Hands-on experience with AI/ML frameworks and Spark.
• Experience collecting, building, and tailoring large datasets for model training.
• Experience leading cross-functional projects between R&D and product teams.
• Master’s Degree in a quantitative science or engineering field, or equivalent relevant experience.

Key Skills

Education

Any Graduate