Linas Baltrunas
Manager, Recommender Systems at Netflix
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolLinas Baltrunas is a seasoned machine learning leader with 12+ years of experience building large-scale recommender systems, currently managing Netflix’s Recommender Systems team that personalizes home page rankings and layouts for over 300 million members. He leads the full lifecycle from R&D and evaluation to deployment and operations, with a current research focus on applying generative AI to personalization. His career blends deep research roots—PhD in Computer Science—with hands-on production impact across roles at Netflix and Wayfair, moving models from prototype to real-time serving. Based in San Jose, he’s known for scaling complex ML systems across devices and for bringing academic rigor into high-velocity product teams.
12 years of coding experience
17 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Free University of Bozen-BolzanoErasmus Computer Science, Erasmus Computer Science at Ikonomikon Panepistimion AthinonBachelor Computer Science, Bachelor Computer Science at Vilniaus universitetas / Vilnius UniversityVilniaus Licėjus
Lithuanian, English, Russian, Catalan
Github Skills (27)
python9
machine-learning9
tensorflow9
deep-learning9
neural-network8
data-science8
ml7
deep-neural-networks7
collaborative-filtering7
filtering7
q-learning6
testing6
large-scale5
reinforcement-learning5
graph5
Programming languages (2)
Github contributions (5)
mumas/eve2
Mar 2017 - Dec 2017
Contributions:2 pushes, 1 branch in 10 months
mumas/shelfOpenerArduino
Mar 2019 - Apr 2019
Contributions:5 pushes, 1 branch in 10 days
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