Overview

Shape the future of security operations at Oracle by building large-scale ML models for detection, behavior analytics, and adaptive defense. As an Applied Scientist 3, you will innovate in AI-driven security solutions to protect enterprise systems at scale. Join a dynamic team pushing the boundaries of machine learning in cybersecurity.

Responsibilities

• Design and develop large-scale ML models for threat detection and anomaly identification.
• Conduct advanced behavior analytics to uncover hidden patterns in security data.
• Implement adaptive defense systems using reinforcement learning and real-time ML.
• Collaborate with engineering teams to deploy models into production environments.
• Perform data preprocessing, feature engineering, and model evaluation on massive datasets.
• Research and integrate state-of-the-art ML techniques for cybersecurity challenges.
• Analyze model performance and iterate to improve accuracy and efficiency.
• Mentor junior scientists and contribute to technical roadmaps for security AI.

Qualifications

• PhD or Master's in Computer Science, Machine Learning, Statistics, or related field.
• 5+ years of experience building and deploying ML models at scale.
• Proficiency in Python, TensorFlow/PyTorch, and cloud platforms (AWS, GCP, OCI).
• Strong background in cybersecurity, anomaly detection, or time-series analysis.
• Experience with big data tools like Spark, Hadoop, or Kafka.
• Excellent problem-solving skills and ability to communicate complex ideas.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• 401(k) matching and employee stock purchase program.
• Flexible remote work options and generous PTO.
• Professional development budget and conference opportunities.