experience in an engineering role with a degree in Mathematics, Engineering, Statistics, Computer Science or Physics. Advanced degree preferred but not required. Knowledge of LinearAlgebra, Probability Theory, Statistics and Optimization, including regression analysis, parameter estimation, factors selection, PCA, hypothesis testing, time series, queuing theory, survival analysis, clustering … linear programming. Experience with machine learning methods, such as regularization, random forests, neural networks and deep learning. Ability to write algorithms and implement pipelines in Python. Knowledge of Scala, R, is a plus. Experienced in SQL. Familiarity with various relational database platforms is a plus (SQL Server, MySql, PostgreSQL more »
Development Knowledge, particularly ReactJS + ThreeJS. Experience developing software for hardware systems, especially robotic systems. Background in Agile methodology. Strong mathematical background, particularly in linearalgebra and robot kinematics. We look forward to discussing this exciting opportunity with you further more »
true understanding of Linux Operating Systems and Embedded Development with Linux Systems Experience leading a team Strong understanding of mathematical concepts and algorithms (think linearalgebra, calculus etc.) Experience with system integration and design patterns Experience with communication protocols and hardware/software interfaces What's in it more »
or a similar role, preferably within the finance industry or at a leading technology company. Strong expertise in algorithms, data structures, multivariate calculus, and linear algebra. Proficient in Python, TensorFlow, PyTorch, or similar languages and frameworks, with experience writing CUDA kernels and profiling GPU code a plus. Excellent communication more »
Implementing deep learning algorithms using PyTorch - Full-cycle ML model development, from Jupyter Notebook to deployment - Proficiency in the mathematical foundations of ML, including LinearAlgebra and Statistics - Familiarity with modern CV and Natural Language Processing (NLP) techniques - Creating and configuring containerized ML applications with Docker - Proficient programming more »
or related field Minimum of 5 years of experience in kernel development for NPUs, GPUs, or similar hardware accelerators from 3 ~ 5 years (ML, linearalgebra) Proficiency in CUDA, OpenCL, or similar parallel programming languages Experience in SIMD/vector processing experience(RISC-V Vector) Strong software development more »
