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As an AI/ML intern, you will have the opportunity to work on cutting-edge projects at the intersection of artificial intelligence, machine learning and private market investments. We view this internship as a 36 month interview for your permanent seat at the table.
You will be using your knowledge of and experience in Python, artificial intelligence, natural language processing (NLP), neural networks, machine learning, LLMs and modern, scalable AI technologies to develop innovative, technology-driven solutions for our company.
Company Overview:
Hyperqube Ionic is at the forefront of developing scalable technology infrastructure redefining how private capital forms conviction, builds trust, and moves into companies. Through our proprietary technology and machine learning algorithms, we uncover hidden signals, standardize information, unlock better decision-making, cull noise, and ensure faster outcomes.
We are pioneering the development of the missing operating system of private markets with the objective of eliminating the outdated practices that make private markets inefficient and fragmented. We are sector- and stage-agnostic, and leverage our proprietary approaches and data gathering pipelines to uncover market intelligence most relevant to modern businesses and investors.
Founded by an IIT Delhi alumnus, NYU Stern MBA and former NYC investment banker, the firm aims to utilize a strong understanding and know-how of private markets to deliver a compelling value proposition to all participants involved.
Key Responsibilities:
If you are passionate about AI and ML, and eager to learn and grow in this field, this internship is the perfect opportunity for you to gain valuable hands-on experience and make a real impact. Join us in shaping the future of private markets!
Desired Skills and Experience:
Experience in Python, artificial intelligence, natural language processing (NLP), neural networks, machine learning, deep learning, LLMs and data science acquired through strong academic research in the field or past internships in similar roles
Preferred Qualifications:
Compensation:
Location:
Job ID: 143989519