PhD Student Intern - AI Research

SAP; Singapore; On-site; SGD 33,480 - 66,960; Full time

Job summary

SAP is seeking an AI Research Intern in Singapore to work with experienced researchers on scaling AI methods across their business software. Ideal candidates are PhD students specializing in reinforcement learning with a strong publication record. The internship lasts 6 months and includes publishing research results in top-tier conferences, contributing significantly to SAP's product development and AI innovations.

Qualifications

• PhD student (second year or beyond) with a first-author publication or preprint.
• Specialisation in reinforcement learning and LLM agent research.
• Excellent understanding of deep learning, transformer architectures, and reinforcement learning approaches.

Responsibilities

• Work with a team of experienced researchers tackling challenges around scaling AI methods.
• Conduct research on AI improvements using structured feedback.
• Publish research results in top-tier conferences by the end of the internship.

Skills

Reinforcement learning

Machine Learning

Natural Language Processing

Deep Learning

Python

PyTorch

Education

PhD candidate

Tools

Statistical analysis tools

Shell programming

Job description

We help the world run better. At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We are builders across 20 industries and 80% of global commerce, and we need your unique talents to shape the next wave of innovation.

What You’ll Do

• Work with a team of experienced researchers and applied scientists, tackling challenges around scaling AI methods across SAP’s broad portfolio of business software.
• Conduct state‑of‑the‑art research on AI agent improvement, including reinforcement learning approaches that use structured feedback from recurring failures to enable continuous learning and adaptation across diverse enterprise environments.
• Learn about exciting research and applications within and outside your expertise, contributing to SAP product development.
• Publish research results in top‑tier conferences by the end of the internship and contribute to SAP product development.

What You Bring

• PhD student (second year or beyond) with a first‑author publication or preprint.
• Specialisation in reinforcement learning and LLM agent research.
• Excellent understanding of deep learning, transformer architectures, optimisation methods, supervised fine‑tuning, and reinforcement learning approaches.
• A strong publication record in top‑tier ML/NLP conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR) is preferred.
• Strong background in machine learning, natural language processing, computer vision, or reinforcement learning.
• Strong algorithmic problem‑solving skills.
• Proficient in PyTorch and Python with a good understanding of statistical analysis and shell programming.

The duration of the internship is 6 months and should take place in 2026.

Team

SAP’s AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers and partners to enhance business processes and generate remarkable value. As a vital part of this organization, your team will pioneer an end‑to‑end framework for agent evaluation and improvement across a wide range of business processes.

Equal Opportunity Statement

Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.