# Jon R. > Scaling Models at Meta | No sponsorship required Location: Menlo Park, California, United States Profile: https://flows.cv/jonr Machine Learning Engineer with 10+ years building and deploying production ML systems at scale. Specialized in recommendation systems, ranking models, and applied deep learning for ads and content personalization. Experience spanning the full ML lifecycle from research and experimentation through model optimization and production deployment serving billions of daily predictions. Recommendation & Ranking Systems: Deep expertise in DLRM architectures, two-tower models, multi-task learning, and sequence modeling for personalized ads and content recommendation at Meta-scale (billions of users, 100B+ daily predictions). Deep Learning & NLP: Hands-on experience with transformer architectures, LLMs, embedding models, attention mechanisms, and neural network optimization. Proficient in PyTorch, TensorFlow, and distributed training. Applied ML & Experimentation: Strong foundation in A/B testing, experiment design, statistical analysis, and translating model improvements into measurable business outcomes (CTR, conversion rates, revenue). Production ML Systems: End-to-end ownership from feature engineering and model training to serving optimization and monitoring. Experience with real-time inference, model compression, and GPU optimization. ## Work Experience ### Staff Software Engineer, Machine Learning @ Meta Jan 2022 – Present | Menlo Park, California, United States ML Training & Inference Infrastructure ### Senior Software Engineer @ Microsoft Jan 2022 – Jan 2022 | Seattle, Washington, United States ### Senior Software Engineer @ SailPoint Jan 2020 – Jan 2022 | Austin, Texas Metropolitan Area ### Software Engineer @ Goldman Sachs Jan 2019 – Jan 2020 | Greater New York City Area ### Founder @ Astrobe Labs Jan 2019 – Jan 2019 | Puerto Rico Astrobe is a software development company that helps startups bring their ideas to life. ### Blockchain Researcher @ U.S. Nuclear Regulatory Commission Jan 2018 – Jan 2019 Tasked with proving the feasibility of a blockchain-driven compute marketplace where personal compute resources may be leased in exchange for cryptocurrency. • Created a peer-to-peer POC, in the Go programming language, that securely allowed edges to lease compute storage in exchange for crypto. • Designed a hash matching computer problem that allows the P2P network to proof the validity of the claims made by the edges. • Showcased my work at Great Minds in STEM. ### Co-Founder and CTO @ Spotin Jan 2016 – Jan 2017 | Puerto Rico Co-founder of Spotin, an adventure travel startup that aims to connect tourists with local tour guides. ### Software Engineer @ Hewlett-Packard Jan 2015 – Jan 2017 | Puerto Rico • Enterprise-ready, multi-platform chatbot framework. • Container image security scanner. • Container management system. • Containerized, CI / CD infrastructures for internal engineering teams. ### Software Engineering Intern @ Honeywell Jan 2014 – Jan 2015 Lead a group of computer engineers in the design and development of a project management platform to aid in the company's day to day operations. ## Education ### Bachelor’s Degree in Computer Science Polytechnic University of Puerto Rico ## Contact & Social - LinkedIn: https://linkedin.com/in/jonros --- Source: https://flows.cv/jonr JSON Resume: https://flows.cv/jonr/resume.json Last updated: 2026-04-12