AI Research Intern

Job summary

Research state-of-the-art AI methods, build and optimize prototypes, and develop models to address business challenges. Collaborate with engineers to apply research in real-world products, document findings, stay current with AI developments, and contribute to research papers or whitepapers.

Job details

Responsibilities: Conduct research on state-of-the-art AI algorithms and technologies, including machine learning, deep learning, and natural language processing (NLP). Design, implement, and optimize prototypes for AI-based solutions. Analyze datasets and develop models to solve business-specic challenges across various industries. Collaborate with the engineering team to integrate research findings into real-world applications. Document research outcomes, experiments, and methodologies for both internal and external use. Stay current with advancements in AI and machine learning technologies, attending seminars or workshops as necessary. Contribute to writing research papers or whitepapers showcasing the findings and innovations of Karbon Digital. Requirements Qualifications: Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Strong foundation in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Proficiency in programming languages such as Python, R, or Julia. Knowledge of statistical analysis, data modeling, and algorithm design. Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) is an asset. Excellent problem-solving skills and a curiosity-driven approach to research. Strong verbal and written communication skills to present complex ideas clearly. A passion for exploring the potential of AI to address real-world problems. Benefits What We Offer: Hands-on experience in AI research and development projects with real-world applications. Mentorship from experienced AI researchers and industry professionals. Access to cutting-edge tools and resources to conduct innovative experiments. Opportunities to attend AI conferences, workshops, and networking events. A collaborative, innovative, and inclusive work environment in the vibrant tech ecosystem About Us: What We Offer Hands-on experience working on live product initiatives Mentorship from experienced full stack and AI developers Flexible work hours and fully remote work setup within Canada Potential pathway to future full-time opportunities An inclusive, collaborative, and innovation-driven team culture Application Process Please use below link to attach your most recently updated resume along with Links to relevant projects, GitHub repositories, or similar research portfolios (if available). About Us: Karbon Digital is an applied research technology corporation developing AI products and intelligent software solutions built on advanced foundation models. Our work empowers organizations to navigate the fast-evolving AI and digital landscape—driving transformation, accelerating growth, and redefining competitive advantage through next-generation technology.

What you’ll do

Research state-of-the-art AI methods, build and optimize prototypes, and develop models to address business challenges. Collaborate with engineers to apply research in real-world products, document findings, stay current with AI developments, and contribute to research papers or whitepapers.

Requirements

Applicants should be pursuing or have recently completed a degree in computer science, data science, artificial intelligence, or a related field, with a strong foundation in machine learning frameworks and programming. They should also have knowledge of statistics, data modeling, and algorithm design, strong problem-solving and communication skills, and an interest in applying AI to real-world problems; cloud platform familiarity is an asset.

Benefits

• Hands-On Research Experience • Mentorship • Access to Research Tools and Resources • Conference and Workshop Opportunities • Flexible Work Hours • Remote Work • Potential Full-Time Employment • Inclusive and Collaborative Work Environment

Listed skills

• Problem solving · Preferred
• Machine learning · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Machine Learning
• Deep Learning
• Natural Language Processing
• TensorFlow
• PyTorch
• Scikit-Learn
• Python
• R
• Julia
• Statistical Analysis
• Data Modeling
• Algorithm Design
• Cloud Computing
• Problem-Solving
• Research Communication

Job areas

• Technology
• Science & Research
• Software
• Data & Analytics