At CBase AI, we're building AI-first solutions to bridge data silos in the construction industry. We aim to enhance integrations between different software systems, automate data updates and improve overall efficiency and sustainability. We're looking for extremely talented and driven engineers, who enjoy working on cutting edge projects, and want to be part of a team that's transforming how data is used in the built world. You'll play a key role in developing our backend infrastructure and front-end applications. If you're ready to tackle complex challenges and work in a fast-paced, collaborative environment, apply now!
Role Overview:
As an AI Engineer Intern at CBase AI, you will have the unique opportunity to work on cutting-edge AI technologies that directly impact the sustainability and efficiency of the built environment. You will be involved in the development of AI Agents that process and interpret complex datasets, including building information models (BIM), construction schedules, and other critical data used across the industry.
This is not just an internship; it's a chance to contribute to meaningful projects that will shape the future of how we design, construct, and manage buildings. You'll be at the forefront of applying AI to real-world challenges, helping us bring data-driven metrics and sustainability into the heart of the built world.
Key Responsibilities:
Develop AI Agents: Collaborate with our team to build and refine AI Agents that automate complex tasks within the built world ecosystem.
Data Integration: Work with large and complex datasets, including BIM models, construction data, and other industry-specific information, to create intelligent systems that improve decision-making processes.
Coding and Development: Write and optimize Python code, utilizing AI and machine learning frameworks to implement robust AI solutions.
Model Training and Evaluation: Design, train, and evaluate machine learning models that will be integrated into our AI Agents.
Collaborative Innovation: Work alongside experienced engineers and researchers in a collaborative environment that encourages creativity, problem-solving, and continuous learning.
Qualifications:
Currently pursuing a degree in Computer Science, AI, Machine Learning, or a related field at Harvard or MIT.
Proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar.
Strong analytical skills and a solid understanding of machine learning algorithms and principles.
Passion for sustainability and a desire to apply AI to solve real-world problems in the built environment.
Ability to work independently and as part of a team in a fast-paced, dynamic startup environment.
Eagerness to learn, grow, and contribute to projects that make a long-lasting impact.
Why Join Us?:
Innovative and Sustainable: Join a forward-thinking team that drives innovation with a commitment to sustainability and lifecycle thinking.
Responsible and Inclusive: Be part of an organization that champions fairness, diversity, and social impact, ensuring everyone has equal opportunities to thrive.
Growth Opportunities: Enjoy abundant opportunities for professional development and career advancement in a dynamic industry.
Impactful Work: Contribute to transformative solutions that enhance the efficiency and sustainability of Architecture, Engineering, Construction, and Operations (AEC/O) projects.
Collaborative Culture: Thrive in a supportive environment where your ideas are valued and teamwork is encouraged.