ML Engineer
Meta AI, London
Working on post-training, agentic harnesses, AI product experiences, and ML systems for frontier models.
Curriculum vitae
Jannes Gladrow
ML engineer building models and systems for AI, with earlier work across physics, optical computing for drastic FLOPs/W improvements in AI inference, and stochastic thermodynamics.
Experience
Machine Learning Researcher
Microsoft Research Cambridge
Research engineering on ML systems, infrastructure, and model work.
AI Resident
Microsoft Research Cambridge
Worked on a customer-facing recommendation system based on NLP, alongside physics and computer-vision research projects.
PhD Student
University of Cambridge
PhD in stochastic thermodynamics, optical tweezers, and machine learning, supported by Winton and Marie Skłodowska-Curie scholarships.
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.