Intern - AI
About The Position
Fairstead is a purpose-driven real estate firm dedicated to building affordable communities across the country. Headquartered in New York, with offices in Colorado, Florida, and Washington DC, Fairstead owns and manages a portfolio of more than 27,000 apartments across 28 states. As an integrated owner, operator, and innovator, Fairstead brings development, construction, and property management under one unified platform to deliver high-quality affordable housing that serves our residents at scale. At Fairstead, we believe affordable housing should be thoughtfully designed, professionally managed, and responsibly operated. We seek to create and preserve housing that serves residents while delivering long-term value to communities, partners, and stakeholders. Fairstead challenges industry norms through our tech-forward, entrepreneurial approach to affordable housing. In addition to core real estate capabilities, we operate innovative service lines designed to improve resident outcomes, strengthen communities, and drive operational efficiency. We embrace digital transformation, data-driven decision-making, and emerging technologies, including AI, to build scalable systems that support sustainable growth, grounded in a culture of entrepreneurship, innovation, partnership, dedication, and integrity. We are seeking a motivated summer Intern to join our AI team and assist in developing tools with large language models (LLMs). This is an opportunity to gain practical hands-on experience with AI and software engineering. You will contribute to coding, testing, and optimizing LLMs using the latest AI modeling software.
Requirements
- Proficiency in Python programming in a Mac or Linux environment. (Include a coding sample with your application)
- Basic understanding of machine learning concepts.
- Strong analytical and problem-solving skills and attention to detail.
- Strong communication skills are essential.
Nice To Haves
- Familiarity with databases (structured and unstructured) is helpful.
- Experience with cloud computing on Azure and AWS is helpful.
Responsibilities
- Write, test, and debug Python code to implement and enhance LLMs.
- Assist in preprocessing and cleaning data for training and fine-tuning LLMs.
- Meet with end-users to discuss coding and business requirements.
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
