Bence Tilk
Software Engineer In Machine Learning at Meta
Oslo, Norway
Summary
👤
Senior🎓
Top SchoolBence Tilk is a software engineer specializing in machine learning with 11 years of experience solving hard ML problems across image, audio, NLP and signal domains. Currently at Meta, he focuses on enabling and optimizing models for a custom AI accelerator and improving kernels and ML compilers, building on prior work at Graphcore integrating IPUs with PyTorch and cloud environments. He has a strong applied-research background—developing domain adaptation tools that placed in ICCV challenges and prototyping document-structure and chat-understanding systems—while retaining a taste for principled approaches like Bayesian methods and RL. Comfortable across the stack from low-level kernel optimization to distributed ML frameworks like Ray, he blends theory-minded curiosity with production-grade delivery. Based in Oslo, he holds an MSc in Computer Engineering and often seeks projects that push both theoretical understanding and real-world performance.
11 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Budapest University of Technology and EconomicsExchange student, Computer Science, Exchange student, Computer Science at Technical University of Munich
English, German, Hungarian
Github Skills (14)
pytorch10
python10
data-science9
tensorflow9
machine-learning9
deep-learning9
jax8
neural-network7
libjpeg-turbo6
libjpeg6
turbo6
reinforcement-learning5
deep-reinforcement-learning5
testing3
Programming languages (4)
Github contributions (5)
tilkb/thermoAI
Jul 2019 - Oct 2019
Heating system control with Reinforcement Learning
Contributions:33 commits, 28 pushes, 1 branch in 3 months
reinforcement-learningdeep-reinforcement-learningcontrol-systemreinforcementheating
tilkb/siamese-kernel-machine
Oct 2017 - Jan 2019
Contributions:2 commits, 5 pushes, 1 branch in 1 year 3 months
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