Success Stories: NAILG Successfully Secures NIW Approval for a Machine Learning Engineer
Client’s Testimonial:
“Thanks for letting me know. It is great that my NIW has been approved.”
On April 1st, 2025, we received another EB-2 NIW (National Interest Waiver) approval for a Machine Learning Engineer in the Field of Machine Learning (Approval Notice).
General Field: Machine Learning
Position at the Time of Case Filing: Machine learning Engineer
Country of Origin: China
State of Residence at the Time of Filing: California
Approval Notice Date: April 1st, 2025
Processing Time: 1 month, 12 days (Premium Processing Requested)
Case Summary:
A highly talented researcher working at the intersection of artificial intelligence, visual understanding, and natural language processing sought our legal guidance to file his National Interest Waiver (NIW) petition. After a detailed review of his qualifications and research trajectory, our team confirmed the national value of his work and proceeded with a strategic plan to present his petition to USCIS.
The researcher’s proposed endeavor focuses on developing multimodal recommender systems that seamlessly integrate visual comprehension, natural language understanding, and conversational AI. This work is aimed at significantly enhancing user personalization, recommendation quality, and interactive learning experiences—a field of growing importance in both commercial and public-interest applications such as education, healthcare access, and digital equity.
To support the petition, we highlighted the following achievements:
➢ 6 peer-reviewed conference papers, including 3 as first author; 3 preprint publications, with 2 first-authored
➢ 205 citations, illustrating recognition and academic impact in the machine learning and AI research communities
➢ Completed at least 7 peer reviews for respected journals and conferences, demonstrating professional standing and service to the field.
His innovative research in multimodal machine learning has already contributed to real-world systems that help users interact more effectively with AI-driven platforms, improving everything from search engine relevance to educational content recommendation and user support automation. These contributions are helping to shape the future of AI-powered interaction and personalization at a national scale.
We successfully demonstrated the national importance of the researcher’s work by presenting a carefully constructed petition supported by expert testimonies, publication metrics, and professional contributions. We are proud to have assisted this researcher on his journey and look forward to his continued contributions to artificial intelligence, multimodal computing, and user-centric AI design.

