Senior Machine Learning Engineer - Attack Detection (Remote)

About the Role

Abnormal AI is hiring a full-time Senior Machine Learning Engineer - Attack Detection to join our innovative team. This Senior Machine Learning Engineer remote position allows you to work from anywhere in the USA, contributing to cutting-edge solutions in attack detection and cybersecurity.

What You'll Do

• Design and implement machine learning models for detecting attacks and anomalies in real-time data.
• Collaborate with data scientists and software engineers to enhance the performance of our AI systems.
• Conduct research to improve existing algorithms and develop new techniques for attack detection.
• Analyze large datasets to extract meaningful insights and improve model accuracy.
• Participate in code reviews and contribute to a culture of continuous improvement.

Requirements

• 5+ years of experience as a Machine Learning Engineer, with a focus on attack detection or cybersecurity.
• Strong proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms (AWS, GCP, or Azure) for deploying machine learning models.
• Excellent problem-solving skills and the ability to work independently in a remote environment.

Nice to Have

• Experience with reinforcement learning or deep learning techniques.
• Knowledge of cybersecurity principles and practices.
• Familiarity with big data technologies such as Hadoop or Spark.

What We Offer

• Competitive salary ranging from $195,000 to $230,000 per year.
• Fully remote work environment with flexible hours.
• Opportunities for professional development and continuous learning.
• Health, dental, and vision insurance coverage.
• Generous paid time off and holidays.