Keywords: Computer Vision, Robotics, Inference Optimization, AutoML, Forecasting

  - Location: Oxford, United Kingdom / Munich, Germany
  - Remote: In-person preferred
  - Willing to relocate: Yes, within Europe
  - Technologies: Python, PyTorch, Hugging Face, Scikit-Learn, NumPy, Git, AWS Cloud, Docker, Wandb
  - Résumé/CV: https://davidbhoffmann.com/assets/pdf/David_Hoffmann_CV.pdf
  - Email: info@davidbhoffmann.com

Previously, I worked at AWS as an Applied Scientist Dual Student, where I (1) developed a novel inference optimization technique yielding 13.4% higher accuracy against baselines, and (2) improved SageMaker's Autopilot forecasting solution, resulting in a 3.5% error reduction and 16% decreased latency in production.

I will graduate with an M.Sc. from LMU in August and am seeking applied machine learning roles to transition my research into production-level systems.