14 of 14 Linear Algebra Jobs

conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis - to extract valuable insights from data. Be the driving force behind our data visualisation efforts … libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis ...

matrix operations and numerical solvers Profiling and optimizing GPU execution using NVIDIA tooling (e.g., qdss , Nsight Systems/Compute) Working with large-scale matrix algebra , linear equation solving, iterative solvers, and sparse/dense matrix handling Adapting existing CPU-based simulation code to GPU environments Ensuring numerical stability … Optional: contribution to Jetson-based environments if needed Required Skills Strong experience in CUDA development (custom kernels, memory management, warp optimization) Background in numerical linear algebra , matrix operations, and solving systems of equations Experience with GPU-accelerated libraries such as: cuBLAS, cuSOLVER, cuSPARSE, Thrust , or similar Knowledge ...

considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming data structures, data mining, artificial intelligence). College-level requirements … algorithms, programming (skill in at least one high-level language (e.g., Python), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Clearance Required: Must ...

considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). College-level requirement … algorithms, programming (skill in at least one high-level language (e.g. Python , statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more ...

Ph.D. in Computer Science, Electrical Engineering, or a related field, with expertise in calibration, localization, and/or 3D mapping Strong mathematical foundation in linear algebra, probability theory, numerical optimization, 3D geometry, Lie theory, and 3D kinematics Strong theoretical understanding and practical experience with different linear and non-linear state estimation frameworks for sensor fusion Familiarity with state-of-the-art LiDAR-inertial odometry and SLAM algorithms Familiarity with state-of-the-art visual-inertial odometry and SLAM algorithms Experience with sensor calibration (intrinsics and extrinsics) and time synchronization Strong proficiency in C++ ...

Physics, Physical or Biological Sciences or a related field 5+ years of experience in Data Science or Analysis Solid understanding of data analysis, physics, linear algebra, statistics, algorithms, optimization, and/or machine learning methods Proficiency in one or more programming languages like Python, Matlab, C, or C++ ...

Physics, Physical or Biological Sciences or a related field 5+ years of experience in Data Science or Analysis Solid understanding of data analysis, physics, linear algebra, statistics, algorithms, optimization, and/or machine learning methods Proficiency in one or more programming languages like Python, Matlab, C, or C++ ...

5+ years of experience with machine learning, statistical modeling, and optimization techniques Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred) Proficient in linear algebra and statistics Familiar with scientific software principals, e.g. versioning systems, reproducibility Experience in the manufacturing industry is desired Must ...

improvements to enhance functionality and efficiency. Qualifications Preferred: Applied Machine Learning experience (regression, classification, supervised, and unsupervised learning ) with a strong mathematical foundation in linear algebra , calculus , probability, and statistics. Experience in time-series data analysis , including cleansing and normalization , and experience with scalable Machine Learning ( MapReduce , streaming ...

Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field relevant to machine learning, or equivalent experience Strong background in Linear Algebra, Probability, Signal Processing, and machine learning concepts Proficient programming skills in languages such as C/C++, Python, and others Preferred Qualifications Experience ...

Familiarity with recent developments and literature on Large Language Models and AI agents Knowledge of core machine learning concepts and ML related maths like linear algebra, probability and statistics, multivariate calculus Strong communication and presentation skills (discussion, brainstorming ideas, technical research writing etc Nice-to-haves Experience ...

languages such as Python, R, C++, along with experience in machine learning libraries and frameworks like TensorFlow, PyTorch, and scikit-learn Advanced understanding of linear algebra, calculus, probability, and statistics aided to the development and analysis of machine learning models. This includes knowledge of matrix operations, differentiation ...

Mathematics from a top US university. Experience coding in Python and MATLAB for projects or research. Field-specific experience in Numerical Linear Algebra, Computational Mechanics, or Computational Finance. High attention to detail. Exceptional written and verbal communication skills. Excellent proficiency in English. Based in the U.S., Canada ...

training speeds through low-level optimizations Ideal candidates will have: Knowledge of distributed inference systems for handling high-volume workloads Strong background in linear algebra, optimization, and machine learning algorithms Experience with generative AI models (GANs, Diffusion Models, Transformers) Knowledge of hardware-aware neural architecture design Experience with ...