Machine Learning Engineer, Security AI

Cisco - San Jose, CA

Full-time - Mid Level

San Jose, CA

Computer and Electronic Product Manufacturing

About the position

The Machine Learning Engineer position at Cisco Security AI involves developing and deploying advanced machine learning models to address security challenges faced by businesses. The role emphasizes innovation in model customization, scalability, and efficiency, with a focus on integrating AI solutions into security systems. The engineer will work collaboratively with software engineering teams to ensure the successful deployment of these models, while also maintaining documentation and best practices in machine learning operations.

Responsibilities

• Develop and implement advanced ML models and algorithms to tackle security problems, including threat detection, anomaly detection, and risk assessment.
• Lead the training, validation, and fine-tuning of ML models using current techniques and libraries, defining and tracking security-specific metrics for model performance.
• Build robust software systems to integrate, deploy, and maintain advanced ML models in production environments.
• Collaborate with software engineering teams to design and implement deployment strategies for models into security systems, ensuring scalability, reliability, and efficiency.
• Establish an effective process for machine learning and security operations, maintaining clear documentation of models, data pipelines, and security procedures.

Requirements

• Bachelor's degree with 5+ years or Master's degree with 3+ years or PhD degree with 1+ year of software development industry experience.
• 2+ years of industry experience in machine learning, including building, fine-tuning, and deploying machine learning models into production.
• 2+ years of experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.

Nice-to-haves

• Experience in machine learning algorithms, deep learning, and statistical modeling.
• Experience in NLP and LLMs.
• Experience in GenAI.
• Proficient in cloud services for deploying models at scale.
• Excellent problem-solving and communication skills, with the ability to explain complex concepts to non-technical teammates.

Benefits

• Opportunity to work in a diverse and inclusive environment.
• Access to cutting-edge technology and innovative projects.
• Career growth and development opportunities within a global company.