Linas Baltrunas — CEO
I am leading Netflix’s recommender systems team. We develop AI/ML algorithms that personalize rankings, rows, modules, and full page layout for Netflix home page across all devices for over 300 million members. Our work covers R&D, evaluation, deployment, and operations of models at scale. Our current research focus is on GenAI models for personalization.
Stackforce AI infers this person is a B2C SaaS expert specializing in AI-driven personalization and recommendations.
Location: San Jose, California, United States
Experience: 22 yrs 7 mos
Skills
- Recommender Systems
- Machine Learning
- Software Engineering
Career Highlights
- Led Netflix's recommender systems team for 300 million members.
- Expert in AI/ML algorithms for personalized content.
- Strong background in large scale model deployment.
Work Experience
Netflix
Manager, Recommender Systems (7 mos)
Manager, Core Recommendations (1 yr 3 mos)
Machine Learning Manager, Experience Personalization for Recommendations (1 yr 8 mos)
Senior Research Engineer (5 yrs 8 mos)
Wayfair
Director of Machine Learning (1 yr 2 mos)
Telefónica I+D
Researcher (1 yr 6 mos)
Associate Researcher (2 yrs 9 mos)
Telefonica Research
Intern (0 mo)
Telefonica Investigacion y Desarrollo
Intern (4 mos)
Free University of Bolzano-Bozen
Phd Student (4 yrs)
Megalogika, Ltd.
Web Developer (6 yrs)
Education
PhD at Free University of Bozen-Bolzano
Master at Free University of Bozen-Bolzano
Bachelor at Vilniaus universitetas / Vilnius University
Erasmus
at Vilniaus Licėjus
