ML Engineer
Meta (MSL), London
Working on post-training, agentic harnesses, AI product experiences, and ML systems for frontier models.
Curriculum vitae
Jannes Gladrow
AI researcher and engineer building models and systems, with earlier work across physics, novel AI accelerators, and stochastic thermodynamics.
Experience
Machine Learning Researcher
Microsoft Research Cambridge
Research across machine learning, optical computing, and ML systems, including a customer-facing NLP recommendation system.
PhD Student
University of Cambridge
PhD in stochastic thermodynamics, optical tweezers, and machine learning.
R&D Intern
nanoTemper Technologies, Munich
Rapid prototyping of measurement devices for protein characterisation.
Research Intern
Penn State University
Developed LEED correction algorithms in Python.
Education
MSc Physics
Georg-August University Göttingen
Minor in computer science. Thesis in non-equilibrium thermodynamics.
Exchange year
École Normale Supérieure, Paris
M1 ICFP, including a six-month programming internship at Institut Curie.
BSc Physics
Georg-August University Göttingen
Minor in computer science. Thesis in theoretical neuroscience.
Abitur (A-level equivalent)
Ricarda-Huch-Schule, Braunschweig
Awards
- Jugend forscht national winner (2008)
Interdisciplinary research in holographic data storage.
- Winton Scholarship (2015)
PhD research funding at the University of Cambridge.
- Marie Skłodowska-Curie Scholarship (2016)
European Union funding for PhD research.