Senior Machine Learning Engineer, Meta

Senior Software Developer (Machine Learning) | AI/ML Industry Leader | Expert in Scalable Systems Navom Saxena is a seasoned technologist with over 11 years of hands-on experience in designing and deploying machine learning and deep learning systems at scale. Currently a Senior Software Developer (ML) at Meta in New York, he specializes in building transformative AI solutions for large-scale applications, including ad recommendation systems and infrastructure optimization. His work directly impacts billions of users, blending cutting-edge research with real-world engineering excellence. Key Expertise & Contributions: Large-Scale AI Systems: Led the deployment of Meta’s ad-ranking models using transformer architectures, enhancing relevance and efficiency for global advertising platforms. Cross-Industry Innovation: Designed CNN-based geospatial models for Apple Maps, improving real-time navigation accuracy. Architected deep learning pipelines for Microsoft OneDrive, enabling scalable document classification and analytics. Research-to-Production Bridge: Collaborated with academia on peer-reviewed publications and mentored startups through tech incubators, ensuring theoretical advancements translate to practical solutions. Review & Leadership Experience: Evaluated research submissions for internal AI/ML initiatives at Meta and Apple, focusing on novelty, scalability, and reproducibility. Advised on scalable ML infrastructure and distributed systems design, balancing technical rigor with operational constraints. Commitment to Advancing AI: Navom is deeply passionate about fostering innovation in AI research and scalable infrastructure, aligning with the conference’s mission to highlight transformative ideas. His unique perspective—rooted in industry leadership and cross-disciplinary collaboration—ensures a rigorous, balanced approach to curating impactful technical programs. LinkedIn: http://www.linkedin.com/in/navom-saxena GitHub: https://github.com/navom-saxena Contact: navom.saxena@gmail.com | +1 220 262 3939