Interactive NLP Software Engineer

at  Cisco Systems

Help us apply AI to improving education! The Cisco Networking Academy is reimagining how to teach technical domains for a heavily AI-assisted world.

WHO YOU ARE

We are seeking a Senior Software Engineer with NLP and semantic expertise.

Basic Qualifications:

• PhD with 3 years of related experience, or MS degree with 6 years related experience, or BS degree with 8 years of related experience.
• A minimum of 2 years designing and building AI/ML solutions.
• 2+ years’ experience with ML model training, deployment experience, and experience integrating NLP models with interactive software.
• 2+ years programming with JavaScript
• 2+ years’ experience working with web components (HTML custom elements), CSS3, HTML5, and SVG

Preferred Qualifications:

• PhD or Master’s degree in Machine Learning/Artificial Intelligence or a Data Science or Computer Science degree with focus on AI/ML
• 10+ years industry experience focused on machine learning and/or natural language processing with interactive programming and graphics.
• Strong math skills
• Multilingual skills helpful.
• Superb communications skills and ability to collaborate with a team.

This role is pivotal in developing advanced AI-driven educational tools, focusing on conversational, project-based learning platforms. By leveraging natural language processing and machine learning, you will help build personalized interactive learning experiences that adapt to open-ended user inputs in real-time, and foster a deeper, more intuitive understanding of the content. This AI-driven project-based-learning platform will not only enable users to navigate complex concepts more effectively but also ensure that they can apply these insights to a wide variety of real-world scenarios, enhancing problem-solving skills and technical proficiency.
Our team is building a fast and powerful semantic engine. The focus is on project-based learning, with interactive NLP interfaces to provide real-time instructive feedback to open-ended queries and responses. Features will include conversational agents and embedded adaptive interactive features using real-world emulated experiences. The engine will be crafted to deepen one’s understanding of technical subject matter.