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Back in the dark ages before everything lived in the cloud, sharing code was…an experience. Then came GitHub, promising to be the collaborative haven developers desperately needed. It took the core concept of version control—bless you, Linus Torvalds—and wrapped it in a social layer, effectively turning code into a public, searchable, and forkable playground. Quite clever, really, though one does wonder if all those public repositories are just a breeding ground for technical debt.

Today, GitHub is practically synonymous with open source, and Microsoft’s ownership feels… inevitable. It’s the default for many, eclipsing alternatives like GitLab and Bitbucket with sheer network effects. While it’s become a sprawling platform with project management tools and CI/CD pipelines, let’s be honest—most of us are still just using it to file issues and argue about whitespace. Still, it works, and in the world of software development, that’s often a victory in itself.

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data scientist

Research Scientist, Machine Learning (PhD) @ meta

SG | 2025-12-28
Meta’s Research Scientist, Machine Learning posting reads like a lab-and-bootstrapped startup hybrid: frontier projects on social data, influence over codebases, and a tradition of shipping... read more »
PyTorch, TensorFlow, AI/ML, PhD, Computer Science, GitHub, NLP, Python, R
data scientist

Sr Spclst , Data Science @ msd-global

SG | 2025-12-25
This role involves developing AI/ML techniques for spatial omics and digital pathology to generate disease insights and biomarkers, with a unique focus on integrating multi-modal data; a... read more »
Data Science, AI/ML, Data Analytics, Big Data, Management, PhD, Computer Science, Analytics, GenAI, Python, R, PyTorch, TensorFlow, AWS, Amazon SageMaker, Databricks, GitHub, BI, Data Engineering, Data Modelling, DataViz