AI/Machine Learning Intern, Technology (Jan - June 2027)

Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$518 billion (US$401b, €350b, £304b, RMB2.77t) as at 31 March 2026. Our Purpose “ So Every Generation Prospers ” guides us to make a difference for today’s and future generations. We seek to build a resilient and forward-looking portfolio that will deliver good sustainable returns over the long term. We have 13 offices in 9 countries around the world: Beijing, Hanoi, Mumbai, Shanghai, Shenzhen, and Singapore in Asia; and Brussels, London, Mexico City, New York, Paris, San Francisco, and Washington, DC outside Asia. For more information on Temasek, please visit www.temasek.com.sg For Temasek Review 2026, please visit www.temasekreview.com.sg For Sustainability Report 2026, please visit www.temasek.com.sg/SR2026 Introduction As an AI/Machine Learning Intern at Temasek, you will join a cross-functional product team comprising engineers, designers, business analysts, and product managers to build innovative in-house analytics and AI-powered solutions. You will have the opportunity to gain hands-on experience in developing AI applications, agentic workflows, and data-driven products that support key business areas such as investment decision-making, talent management, and workplace productivity. Working alongside experienced professionals, you will contribute to the design, development, testing, and deployment of AI solutions while building your skills in modern AI/ML technologies, software engineering, and agile product delivery. This internship is ideal for individuals who are passionate about AI, enjoy solving complex problems, and are eager to learn in a collaborative and fast-paced environment. Responsibilities Working knowledge of modern AI/ML frameworks and tools (e.g., LangChain, LlamaIndex, OpenAI API, Anthropic Claude API, HuggingFace) Hands-on experience building or working with agentic workflows and autonomous AI systems Understanding of prompt engineering techniques and LLM optimization strategies Familiarity with Retrieval-Augmented Generation (RAG) and vector databases Demonstrated ability to write clean, maintainable code with attention Take part in Agile activities like sprint planning, standups, reviews, retros etc. Collaborate with the team to come up with technical design, API contracts, DB schema etc. for new requirements Implement features or data transformations with focus on code readability, maintainability, and performance Write unit tests and integration tests for the above Communicate with the team regarding requirements, priority, blockers etc. Document processes that might be helpful for other team members Requirements Able to commit full-time for a minimum of 20 weeks. Interns who are able to commit to a full-time (5 days/week) or a minimum of part-time (4 days/week) internship is strongly preferred. Familiarity with orchestration frameworks for multi-agent systems Knowledge of embeddings, semantic search, and document processing Prior internship or project experience in production AI application Pursuing a Bachelor’s Degree in Computer Science, Information Technology, Computer Engineering, and/or related fields Development knowledge and experience in Python, SQL, Pandas Strong communication skills Ability to work with minimal supervision Please state your availability clearly in your resume/CV (Start date, End date)