Thales Costa
Staff Machine Learning Engineer at Meta
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolThales Costa is a Staff Machine Learning Engineer with 12 years of experience building large-scale ML systems for ads and content at Meta and Google, currently driving Instagram Reels growth from the San Francisco Bay Area. He has led teams and owned core models—ranging from YouTube ads safety and premiumness scoring to LTV and ad-load user embeddings—protecting billions of impressions and improving ad relevance. His background blends applied research from an MSc in Computer Science with hands-on engineering, from porting enterprise Java to Unix to shipping production-ready recommendation and deduplication systems for government and industry. Thales is skilled at turning modeling research into robust, high-throughput services and at designing user-centric embeddings that directly influence product metrics. Colleagues would note his pattern of owning end-to-end problems across infra, models, and metrics, plus an ability to simplify costly operational barriers for customers. He brings a pragmatic, metrics-driven approach to growth-focused ML with deep experience in both research and production engineering.
12 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Federal University of Minas Gerais (UFMG)
Portuguese, English
Github Skills (47)
scraper9
aws9
amazon9
jupyter-notebook9
crawler9
scrapy9
python8
huggingface8
reinforcement-learning8
inference8
machine-learning8
crawling8
sagemaker8
deploying8
machine-learning-models8
Programming languages (4)
Github contributions (5)
thalesfc/scrapy-fatsecret
Aug 2015 - Aug 2015
Contributions:4 releases, 38 pushes, 1 branch in 20 days
thalesfc/Multprocess-Scheduler
Aug 2016 - Aug 2016
Contributions:10 commits, 3 pushes, 1 branch in 3 days
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