5 of 5 Linear Algebra Jobs

deep learning models in PyTorch Experience training large models across multiple GPUs and compute nodes Deep understanding of machine learning theory including linear algebra, probability, statistics and optimisation Experience with deep learning for computer vision, ideally including 3D imaging and or self-supervised learning Strong Python and PyTorch ...

deep learning models in PyTorch Experience training large models across multiple GPUs and compute nodes Deep understanding of machine learning theory including linear algebra, probability, statistics and optimisation Experience with deep learning for computer vision, ideally including 3D imaging and or self-supervised learning Strong Python and PyTorch ...

commercial results. Key Responsibilities Use mathematical frameworks to predict supply depth and market pricing, identifying market opportunities Model optimal usage of battery assets using linear programming taking into account opportunity cost and physical characteristics of the asset Model GB electricity system to create forward view of system constraints Understand … have spent time modelling physical systems in an UK university Experience in Statistical Significance and Time-Series Analysis Ability to handle Vector Calculus or Linear Algebra A "First Principles" approach to solving problems Python (specifically libraries like NumPy, SciPy, and Pandas) SQL or similar for managing large-scale ...

math, quantitative finance, or other quantitative fields with a strong foundation in statistics Demonstrated proficiency in Python Strong command of foundations of applied statistics, linear algebra, and time series models Ability to quickly and efficiently scrub, format, and manipulate large, raw data sources Knowledge of financial markets Highly ...

/C++ on MCUs. Demonstrable experience implementing Kalman filtering/estimation/sensor fusion in real systems (not just academic). Strong understanding of: Linear algebra basics used in filtering (matrices, covariance propagation) Noise modeling, sensor errors, bias, drift, calibration concepts Real-time embedded constraints (scheduling, interrupts, deterministic ...