1 to 25 of 39 Linear Algebra Jobs

for scalable AI deployments. Data Visualization : Proficiency in tools like Tableau, Power BI, and Python-based libraries such as Matplotlib, Seaborn, and Plotly. Statistics and Mathematics : Deep understanding of linear algebra, calculus, probability, and advanced statistical techniques. Soft Skills : Exceptional communication, critical thinking, and stakeholder management skills. Preferred Skills Familiarity with advanced ML techniques, such as reinforcement learning More ❯

but a bonus Fixed Income products and Interest Rate derivatives (including Risk, PnL attribution, scenario analysis, etc.) IR derivatives models (Yield Curves, Option Pricing, SABR, etc.) Statistics, discrete mathematics, linear algebra Personal Traits Possesses the ability and desire to learn, adapt and grow. Demonstrates personal humility, respect for others, and trust in their teammates. Capable of independently driving More ❯

but a bonus Fixed Income products and Interest Rate derivatives (including Risk, PnL attribution, scenario analysis, etc.) IR derivatives models (Yield Curves, Option Pricing, SABR, etc.) Statistics, discrete mathematics, linear algebra Personal Traits Possesses the ability and desire to learn, adapt and grow. Demonstrates personal humility, respect for others, and trust in their teammates. Capable of independently driving More ❯

platforms. Data structures and design/analysis of algorithms. Analysis of concurrency and parallelism for speed/space performance tradeoffs. Bonus Experience: Exchange traded financial instruments. Statistics, discrete mathematics, linear algebra. Problem-solving and proof construction. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at . California More ❯

quantitative researcher, quantitative analyst or another relevant role Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology or Engineering Knowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methods Experience with statistical and machine learning models, such as regression-based models (e.g., logistic regression, linear regression, negative binomial regression), tree-based models More ❯

equivalent fields with one year of relevant work experience. - Excellent programming skills in Python. - Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning). - Strong mathematical background (linear algebra, calculus, probability, and statistics). - Experience with scalable ML (MapReduce, streaming). - Ability to drive a project and work both independently and in a team. - Smart, motivated More ❯

of key libraries and frameworks (e.g., TensorFlow, Keras, Spark, LangChain) Strong software engineering foundations, including experience delivering code through CI/CD pipelines in cloud environments Solid grounding in linear algebra, statistics, and mathematics A natural problem-solver - curious, analytical, and impact-driven Proven ability to work collaboratively with engineering and product teams in cross-functional settings What More ❯

i.e. behavioral, social, or life) may be 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, or upper-level math … learning, data science, advanced analytical algorithms, programming (skill in at least on 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. More ❯

i.e. behavioral, social, or life) may be 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, or upper-level math … learning, data science, advanced analytical algorithms, programming (skill in at least on 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: Must Have an ACTIVE TS/SCI More ❯

learning, data science, advanced analytical 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 than one area is strongly … i.e. behavioral, social, or life) may be 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). Military or applicable government work experience in More ❯

learning, data science, advanced analytical 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. • Utilize analytic modeling, statistical analysis, programming, and/… learning, data science, advanced analytical 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. • Bachelor's Degree in Mathematics, Applied Mathematics Statistics … i.e. behavioral, social, or life) may be 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) • Degree and minimum years of relevant work experience More ❯

learning, data science, advanced analytical algorithms, programming (skill in at least on 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. Bachelor's Degree must be in Mathematics, Applied … i.e. behavioral, social, or life) may be 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). Military or applicable government work experience in More ❯

type: Full Time w-2 or C2C or 1099. Rate: open to Negotiation • Degree in Data Science, Machine Learning, Computer Science, Engineering, Statistics, or equivalent fields • Strong mathematical background (linear algebra, calculus, probability & statistics) • Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn) • Experience crafting, conducting, analyzing, and interpreting experiments and investigations. More ❯

behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 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 Algebra or other math More ❯

and translating research into practical solutions for predictive analytics. Experience in solution design, architecting and outlining data analytics pipelines and flows. Advanced Mathematics skills including experience with Bayesian statistics, linear algebra and MVT calculus, advanced data modelling and algorithm design experience. Design and deployment experience using Tensor Flow, Spark ML, CNTK, Torch or Caffe. The perks A flexible More ❯

or LIDAR Experience with sensor characterisation and modelling Familiarity with classical and contemporary approaches for state estimation and tracking (e.g. Kalman Filter, UKF, Particle Filter) Sensor calibration Background in linear algebra and probability/stochastic processes Familiarity with non-linear optimisation frameworks like Ceres, g2o, GTSAM, etc Probabilistic inference and Bayesian likelihood estimation (e.g., Markov Chain Monte More ❯

of Python and modern ML libraries like PyTorch, Tensorflow, or JAX. Ability to implement models from academic papers like ICML, ICLR, NeurIPS, etc. Strong quantitative intuition and mastery of linear algebra, probability and statistics. Solid knowledge of basic data structures (list, vector, stack, heap), basic algorithms (sort, search, etc.) and associated time/memory asymptotic complexity. Maybe you More ❯

experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning models using frameworks like PyTorch, TensorFlow, or JAX. Strong foundation in mathematics and statistics, including linear algebra, probability, and optimization. Excellent scientific writing and communication skills. Preferred Qualifications Experience in computational biology, genomics, or drug discovery. Familiarity with RNA biology, structural biology, or systems More ❯

Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Mathematics skills to support the above: calculus, probability theory and linear algebra. Desirable Experience in one or more of: distributed computing, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other More ❯

Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Mathematics skills to support the above: calculus, probability theory and linear algebra. Desirable Experience in one or more of: distributed computing, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other More ❯

video security use cases, and convert those ideas to working code. Requirements You should be a good software engineer who enjoys writing production-grade software. Strong machine learning fundamentals (linear algebra, probability and statistics, supervised and self-supervised learning). Keeping up with the latest in deep learning research, reading research papers, and familiarity with the latest developments More ❯

video security use cases, and convert those ideas to working code. Requirements You should be a good software engineer who enjoys writing production-grade software. Strong machine learning fundamentals (linear algebra, probability and statistics, supervised and self-supervised learning). Keeping up with the latest in deep learning research, reading research papers, and familiarity with the latest developments More ❯

user interfaces What we are looking for: Required attributes: Bachelor's or Master's degree in Computer Science, Engineering, or related field Experience programming in C++ Understanding of 3D Linear Algebra for Computer Graphics Proficient using Git version control Strong problem-solving abilities and communication skills Desirable skills: Experience in UI development e.g. ImGui Understanding of multithreading techniques More ❯

Awareness of ethical considerations and bias in AI, ensuring responsible and fair use of AI technologies. Mathematical Foundations: Strong mathematical skills, particularly in areas relevant to AI, such as linear algebra, calculus, and probability. More ❯

in office Do you have a solid background in .Net Core, C#? Do you have a physics-biased education or work experience? Do you have experience in: complex algorithms, linear algebra, FFT, or signal processing? Role: A seasoned software developer with over five years of commercial experience in modern C# .NET development, complemented by an engineering/physics More ❯