# Edmund Tong > Staff Software Engineer at Dayspring Partners Location: San Francisco, California, United States Profile: https://flows.cv/edmundtong Currently working on making mass spectrometry more accurate and accessible, specifically for food + health research! Staff engineer with over seven years of experience in machine learning, recommendation systems, algorithmic fairness, security, and safety in social environments. ## Work Experience ### Staff Software Engineer @ Dayspring Partners Jan 2024 – Present | San Francisco, California, United States Working on the Periodic Table of Food Initiative through building a data platform for untargeted mass spectrometry ### Staff Software Engineer @ Meta Jan 2021 – Jan 2024 Joined the Horizon Worlds Safety team within the Reality Labs organization in March ‘24 Joined Meta’s security incident detection and response team in March '22. Tech lead for our Detection Platform. Lead engineer on Meta's algorithmic fairness team, building products like the Fairness Flow and systems to enable secure analysis by race groups. (Until March ‘22) ### Senior Software Engineer @ Meta Jan 2019 – Jan 2021 From December 2019: working on algorithmic fairness. Worked on Facebook Stories Ranking as a technical lead for statistical analysis and tooling until December 2019. ### Technical Lead @ Meta Jan 2019 – Jan 2019 Tech Lead for Stories Ranking Statistical/Model Analysis & Developer Efficiency: In this role, I drive our team's efforts to improve our understanding of what the machine learning models we develop do and how they affect our ranking, speed up experimentation iteration cycles, and seek to improve overall quality of work. Received a quality award in the Feed and Stories Relevance organization for the ranking analysis tools that I developed. ### Software Engineer @ Meta Jan 2018 – Jan 2019 | Menlo Park, CA Machine learning engineering and personalized ranking for Facebook Stories since March 2018. Technologies I interact with include Hack, React frontends, Python, C++, and backend systems that power our algorithms at scale. ### Undergraduate Researcher @ Multimodal Communication and Machine Learning Lab -- CMU Language Technologies Institute Jan 2015 – Jan 2017 | Greater Pittsburgh Area -- Design a multimodal language modelling system with graphical models and Long Short-Term Memory neural networks -- Worked on incorporating multimodal data (image and text) to improve human trafficking detection in advertisements (first author of paper accepted for ACL 2017) -- Developed automated video data collection software by filtering data with GPU-enabled OpenCV for facial detection ### Software Engineering Intern @ Meta Jan 2017 – Jan 2017 | Menlo Park, CA Camera & Sharing Growth Team ### Software Developer Intern @ Marinus Analytics Jan 2016 – Jan 2016 -- Applied machine learning techniques for the classification of advertisements to provide human trafficking leads (product pushed to a tool being actively used by the law enforcement community) -- Developed data collection strategies to combat strong biases in most human trafficking datasets -- Participated in the DARPA Memex Conference to share ideas on using machine learning to aid law enforcement in the area of sex trafficking ## Education ### Bachelor in Science in Computer Science Carnegie Mellon University Jan 2015 – Jan 2017 ## Contact & Social - LinkedIn: https://linkedin.com/in/edmund-tong-5b6613123 --- Source: https://flows.cv/edmundtong JSON Resume: https://flows.cv/edmundtong/resume.json Last updated: 2026-03-22