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Genai Software Engineer Intern – Genai Model Experiment

China, Shanghai · Job Posted April 24, 2026
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Job Description

This is an exciting opportunity to light the way as a GenAI Engineer Intern with Signify's Research team. We are seeking a highly analytical and research-driven intern passionate about the intersection of Generative AI, search visibility, and applied research. In this role, you will focus on Generative Engine Optimization (GEO)—shaping how our brands are discovered through AI—while also driving advanced academic research in foundation models.

Job Responsibility

  • Generative Engine Optimization (GEO) & Application Development: Drive GEO initiatives to enhance brand visibility for campaigns. Your core responsibilities will include: Designing and executing rigorous A/B test planning
  • Conducting prompt optimization to maximize AI-driven search relevance
  • Creating and implementing custom AI skills and Agentic workflows
  • Tracking KPIs to measure optimization success and visibility lift
  • Developing, maintaining, and scaling features for our internal GEO applications
  • Academic Research & Publication: Collaborate with the team to conduct deep, rigorous research. You will be responsible for composing and co-authoring academic papers targeted for publication in top-tier journals, exploring advanced AI topics such as LLM Supervised Fine-Tuning (SFT), time series foundation models, and model alignment

Requirements

  • Currently pursuing a Master's/PhD in Computer Science, Data Science, AI, or related fields
  • Availability: Able to commit to a 4-5 days, 4-month internship starting in May - June 2026
  • Proven coding rigor: Requiring strong Python programming or vibe-coding skills with hands-on experience building or testing LLM-based applications and utilizing modern development toolchains (Claude Code, Git)
  • Research & Writing Excellence: Demonstrated ability to formalize research methodologies and write high-quality academic or technical papers are preferred
  • Analytical mindset: Experience with A/B testing frameworks, experimental design, and defining/tracking KPIs for model evaluation are preferred
  • Self-starter: Ability to set up experiments independently, troubleshoot code, and drive projects forward
  • English proficiency: Strong ability to read, write, and synthesize complex technical documents and academic papers

Nice to have

  • Experience with LLM Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), or model alignment techniques
  • Familiarity with time series foundation models or handling complex telemetry/sensor data for predictive tasks
  • Experience with Harness Engineering, Agentics, Retrieval-Augmented Generation (RAG) architectures and complex prompt engineering
  • Contributions to open-source AI projects or a track record of publications in AI, ML, or HCI conferences/journals

What we offer

  • Pleasant work environment
  • Attractive compensation
  • Career guidance
  • Learning and development
  • Employee benefits
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