Responsibilities
About the team
As a core member of our Seed Global Data Team, you'll be at the heart of our operations. Gain first-hand experience in understanding the intricacies of training Large Language Models (LLMs) with diverse data sets. Through our carefully designed rotation program, you'll witness how high-quality data is meticulously crafted and used.
As a key member of our Seed Global Data Team, the AI Agentic Research Lead project intern will play a pivotal role in leading end-to-end research initiatives focused on next-generation Agentic LLM systems. This role demands deep technical ownership—from defining the problem space and designing rigorous experiments to analyzing data and driving iterative improvements.
Your Role Will Involve:
1. Drive the full research lifecycle, including scoping research questions, designing experimental protocols, overseeing data collection, performing deep statistical analysis, and iterating on model architectures or prompting strategies.
2. Actively collaborate with engineering and research teams in China. This requires fluent Chinese proficiency to ensure seamless technical communication, alignment on goals, and rapid knowledge transfer across time zones.
3. Provide technical guidance and mentorship to Research Specialists, ensuring experimental rigor and code quality while fostering a collaborative research environment.
4. Regularly synthesize research progress, blockers, and insights into high-quality technical reports and presentations for PMs and research leadership.
Qualifications
Minimum Qualifications
1. Currently pursuing or recently completed a PhD or Post-Doc in Computer Science, Electrical Engineering, Statistics, or a related field.
2. 3+ years of research experience in LLMs, AI, or Machine Learning, with a portfolio of completed research projects.
3. Expert proficiency in Python, particularly with data analysis and scientific computing libraries (pandas, numpy, scipy, scikit-learn).
4. Hands-on experience with prompt engineering, agentic frameworks (e.g., LangChain, AutoGPT), and LLM evaluation methodologies.
5. Fluent proficiency in Mandarin is strictly required for collaboration with global teams.
Preferred Qualifications:
1. First-author publications in top-tier AI/ML conferences (NeurIPS, ICML, ICLR, etc.).
2. Direct experience with RLHF (Reinforcement Learning from Human Feedback) or RLAIF workflows.
3. Familiarity with distributed training infrastructure and large-scale data visualization/charting tools.
Compensation & Benefits
The hourly rate range for this position is $52.25 - $52.25.
Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time. Interns who are not working 100% remote may also be eligible for housing allowance.
