AI Research Scientist Resume Example

“AI research scientist with 6+ years advancing the state of the art in deep learning, with publications at NeurIPS, ICML, and CVPR. Specializes in representation learning and generative models, with experience translating research breakthroughs into production systems at industry research labs.”

• Published 12 papers at top-tier venues (NeurIPS, ICML, CVPR) with 2,500+ citations. Two spotlights and one oral
• Developed a novel attention mechanism that reduces transformer compute by 40% without losing accuracy. Now used in 3 production models
• Led a research team of 4 on multi-modal learning. Got state-of-the-art results on 3 benchmark datasets
• Transferred efficient fine-tuning research to the product team. Enabled 10x faster model customization for enterprise customers
• Secured $1.2M in research funding through grant proposals and industry partnerships. Supported 3 PhD students and 2 postdocs
• Reviewed 30+ papers per year for NeurIPS, ICML, and ICLR. Served as area chair for one workshop
• Responsible for setting the research agenda for the team and deciding which directions were worth pursuing
• Ran weekly paper reading groups and research seminars for the broader ML team. About 15-20 regular attendees
• Worked with the engineering team to make research prototypes production-ready. Some ideas worked in the lab but needed rethinking for scale

Include these keywords in your resume to pass Applicant Tracking Systems.

• Ph.D. in Computer Science/Machine Learning
• DeepLearning.AI Deep Learning Specialization