
2026 Investments AI & Data Summer Internship Program - AI & DS Team
- New York City, NY
- $30.00-40.00 per hour
- Training
- Full-time
- Research track
- Conduct applied research on cutting-edge AI technologies using enterprise-scale datasets
- Prototype and evaluate the performance of GenAI technologies on real-world business problems
- Investigate the potential of intelligent systems to transform business processes
- tackle open-ended problems that push the boundaries of applied AI in investments
- Application track
- Solve challenging business problems using advanced AI technologies
- Leverage enterprise cloud platform and toolkits to build impactful AI-powered tools
- deliver quick-win solutions that directly enhance business team efficiency.
- Exploring and evaluating GenAI tools on real-world enterprise level datasets to meet business standard and ensure legal and compliance alignment
- Building AI solutions tailored to reflect brand voice and regional localization requirements, etc.
- Enhancing the existing AI technologies to improve internal efficiency and user experience.
- A strong academic background in Machine Learning, Natural Language Processing, or Generative AI
- A research-oriented mindset, with the ability to define open-ended questions and explore innovative solutions
- An interest in evaluating AI model performance in real-world challenges
- A desire to push the limits of GenAI technologies within applied business settings
- A passion for developing intelligent tools that solve real business problems
- A practical understanding of AI/ML concepts and hands-on experience building data-driven applications
- Curiosity to explore enterprise toolkits and platforms, and the agility to deliver solutions that create immediate value
- A mindset geared toward experimentation, iteration, and impactful delivery
- Strong programming skills in Python
- Experience with machine learning libraries and frameworks (e.g., scikit-learn, nltk, pytorch, etc)
- Solid understanding of foundational AI/ML concepts and statistical modeling
- Familiarity with LLMs, transformers, or other GenAI models and APIs (e.g., OpenAI, Hugging Face)
- Excellent problem-solving skills, attention to detail, and the ability to work independently
- Clear communication and collaboration skills in a team environment
- Currently enrolled in a PhD program in Computer Science, Data Science, or related field
- Demonstrated experience in academic research or experimental design
- Publications on top AI conferences
- Knowledge of advanced topics such as knowledge graphs, text generation, retrieval-augmented generation (RAG), machine translation, or text-to-SQL
- Comfort with analyzing model performance and working with unstructured data
- Currently enrolled in a Master's program in Computer Science, Data Engineering, Analytics, or related field
- Experience working with cloud platforms (e.g., AWS, Azure, GCP) and APIs
- Exposure to developing web-based tools or dashboards (e.g., using Streamlit, Dash, or Flask)
- Familiarity with database systems, data pipelines, or integrating AI models into end-user tools