• Propose, research, prototype and test innovative research ideas. • Publish groundbreaking work at top conferences and journals. • Collaborate with other research team members, fellow interns, internal product teams, external researchers and be mentored. • Contribute to technology transfer with engineers around NVIDIA as ideas graduate from research to product. • Make good use of top-of-the-line NVIDIA GPUs at scale for cutting edge research at the intersection of AI and climate science.

• Run client QBRs on AI visibility metrics and competitive positioning • Develop custom GEO playbooks based on industry and competition analysis • Present strategic recommendations to C-suite stakeholders • Configure accounts and test prompt strategies for maximum AI citations and mentions • Collaborate with product team to shape platform features What You'll Own • Lead enterprise accounts through AI search transformation • Deliver monthly AI visibility reports with clear performance narratives • Increase client AI visibility by 40% within first 90 days • Generate 3+ case studies per month showcasing client wins • Translate complex AI search behavior into actionable business strategies • Drive platform adoption across client marketing and SEO teams

• Generate video content and individual scenes using generative AI tools (Veo, Seedance, Kling, Midjourney, etc.) • Work with text-to-video and image-to-video pipelines • Write, refine, and optimize AI prompts for consistent and controllable results • Perform post-production on AI-generated footage: color grading, basic compositing, 2D motion graphics, UI elements, titles • Assemble complete videos based on scripts and concepts • Edit video content with an understanding of pacing, rhythm, and narrative flow • Work with audio: generate character dialogue, voice lines, and action-related sounds • Collaborate with producers and the creative team on series, storyboards, creatives, and advertising materials

• Define conversation flows and dialogue architectures to support multi-turn, context-aware, natural dialogs utlizing tools such as Dialogflow CX. • Develop, write, and optimize prompts to guide large-language models (LLMs) or other generative models toward accurate, context-appropriate, safe outputs • Fine-tune and/or adjust models (when applicable), including prompt tuning, fine-tuning, or parameter optimization, to align model behavior with product and user goals. • Integrate conversational AI with existing backend systems via APIs and data pipelines; ensure seamless data flow, context handling, and retrieval when needed. • Iterate on conversation design through testing: run A/B tests, user simulations, evaluate model outputs (with both automated metrics and human review), debug edge cases, and improve performance over time. • Collaborate closely with product managers, UX / conversation designers, data engineers, and other stakeholders to define requirements, ensure ethical and safe model behavior, and deliver polished user experiences. • Apply MLOps best practices to model versioning, testing, monitoring, and deployment. • Experience with CI/CD pipelines using GitHub Actions, GitOps, GCP-native tools, Azure DevOps, and Jenkins is helpful.