RadicalX is a technology education platform designed to foster lifelong career growth in the tech domain. Our comprehensive offerings include personalized courses, hands-on projects, and rigorous assessments, all curated to meet the evolving demands of the tech industry. Integral to the RadicalX experience is ReX, our Superhuman AI Coach, dedicated to enhancing the learning process and offering tailored guidance for all our users.
Role Overview:
As an AI Engineering Intern you’ll have the opportunity to immerse yourself in the diverse and dynamic field of machine learning, deep learning, generative AI, and natural language processing. This role provides an unparalleled chance to contribute to forefront AI projects and gain substantial experience.
Key Responsibilities:
• Assist in the design and development of AI models.
• Engage in data analysis and preprocessing for machine learning.
• Collaborate closely with the AI team to optimize algorithms and augment existing models.
• Present research findings and actively contribute to team meetings.
• Participate in developing ReX, our AI Career Coach, and innovate algorithms dedicated to Personalized and Adaptive Learning.
• Engage in the creation of a state-of-the-art anti-cheat and fraud detection system.
Technologies You’ll Engage With:
• OpenAI
• Llama 2
• TensorFlow
• Google Gen AI Studio
• Python
Requirements:
• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
• Open to both university students and graduates based in the USA or Canada.
• Solid understanding of AI concepts, machine learning algorithms, and natural language processing techniques.
• Proficiency in Python and frameworks commonly used in AI development.
• Familiarity with deep learning frameworks like TensorFlow or PyTorch.
• Strong problem-solving skills and ability to think creatively and analytically.
• Excellent communication and collaboration skills to work effectively within a team.
Additional Information:
• This is an unpaid internship opportunity, primarily aimed at offering in-depth exposure to generative AI.
• Given the 100% remote nature of this role, candidates should possess a stable internet connection and be adept at working within a virtual team setup.