1 to 25 of 30 Permanent Linear Algebra Jobs

with the CEO/CTO to formalise the platform's theoretical basis, review quantitative approaches, and co-author peer-reviewed papers. Deep fluency in linear algebra, vector spaces, statistics, probability, and AI is central to the role. This is a fractional advisory engagement at approximately 30% FTE, with … flexibility on scheduling. Key Responsibilities Provide mathematical and theoretical guidance on the core platform architecture — with a strong focus on linear algebra, vector spaces, metric spaces, and multi-dimensional decision frameworks. Co-author and review peer-reviewed research papers targeting top AI, ML, and fairness venues. Advise ...

someone who can independently investigate complex problems, work effectively in an established codebase, and grow into broader technical leadership over time. Experience in linear algebra and/orLagrangiananalysis is highly desirable.Programming ability isrequired, but prior C++ experience is not essential.The ideal candidate will have both postgraduate/research … debuggers, performanceprofilersand memory profilers. Experience with source control systems and continuous integration/continuous developmenti.e.git and Azure DevOps. Background in one or both of: Linear algebra Lagrangiananalysis Problem solving- able to break down difficult technical and mathematical problems and develop practical, effective solutions. Critical thinking- evaluates evidence objectively ...

relational and non-relational databases Experience with AWS cloud services (S3, Lambda, EC2, RDS, Glue, or similar) Strong applied mathematics – statistics, probability, linear algebra, or signal processing Demonstrated ability to read, understand, and extend complex algorithms and dense business logic written by others Understanding of software engineering principles ...

application development and deployment Solid understanding of ML/DL fundamentals, including CNNs, object detection, segmentation, and related algorithms Understanding of neural network operators, linear algebra, quantization, and related mathematical foundations Experience optimizing neural networks for embedded systems (latency, throughput, power) Excellent system-level debugging and issue triage ...

software engineering experience, with strong CS fundamentals (data structures, algorithms, systems design)Demonstrated mathematical maturity — comfort with the concepts and notation used in statistics, linear algebra, optimization, and probabilityDeep proficiency in Python; experience with R and/or C/C++ is a strong plusExtensive experience with numerical ...

Experience using AI/ML frameworks and libraries including TensorFlow, PyTorch, Keras, Pandas, Matplotlib and Scikit-learn. Knowledge of mathematics including calculus, probability, statistics, linear algebra and optimisation. Strong computer science fundamentals including algorithms, data structures and parallel/distributed computing. Programming experience in one or more languages ...

cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. Strong knowledge in at least a few of the following areas: statistics, machine learning, linear algebra, optimisation. A strong product mindset with the ability to operate autonomously while working in a cross-functional and cross-team environment. Good ...

systems Solid foundation in computer vision, machine learning, and statistical signal processing Solid math background with deep understanding of 3D geometry, probability, statistics, and linear algebra Ability to transform ideas into clean, fast and reliable code Attention to detail, strong desire for quality and good communication skills Minimum ...

training and serving benchmarks that are representative of Google production, industry, and the ML community, using them to identify performance opportunities, drive Accelerated Linear Algebra (XLA) Graphics Processing Unit (GPU)/Triton performance, and guide XLA releases. Engage with Google product teams like DeepMind to solve their ...

problems. Advanced academic training in Statistics, Mathematics, Machine Learning, Data Science or a related discipline (PhD preferred). Deep understanding of probability, statistics, uncertainty, linear algebra and calculus. Extensive experience working with large datasets, data preparation and machine learning workflows. Proven experience applying classification, clustering, dimension reduction ...

risk with good understanding of risk modelling. Credit experience is preferred. Very good grasp and understanding of mathematical concepts like probability, statistics, stochastic calculus, linear algebra, Monte Carlo techniques. MSC in a related discipline Good knowledge of Python, SQL, Matlab, VBA. Good understating of financial products (Bonds, Derivatives ...

Electrical Engineering, Statistics, or equivalent fields. Applied AI experience (generative AI, agentic solutions, 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 projectand workbothindependently and in a team. ...

financial institutions, including global investment banks and multi-strategy hedge funds. Who will love this job A scientist – you are comfortable with numerical methods, linear algebra, partial differential equations, probability theory and statistics An engineer – who has a passion for computer science, system performance, clean code and architecture ...

core software engineering skills and a collaborative team mindset Experience developing Python libraries Experience building performant C++ applications in a commercial setting Understanding of linear algebra, floating-point arithmetic or numerical analysis Confident using Git and reviewing code in a commercial team setting Willingness to explore large, unfamiliar ...

minimum of 2 years of commercial experience applying statistical modelling and machine learning techniques to real‐world problems. Solid grounding in probability, statistics, uncertainty, linear algebra and calculus. Experience working with large datasets, data transformation and cleaning. Experience with classification, clustering, dimension reduction and other machine learning methods. ...

financial institutions, including global investment banks and multi-strategy hedge funds. Who will love this job A scientist – you are comfortable with numerical methods, linear algebra, partial differential equations, probability theory and statistics An engineer – who has a passion for computer science, system performance, clean code and architecture ...

enthusiastic to take on new problems across the full-stack as we continue to push technology forward. TPU team develops the Accelerated Linear Algebra (XLA) TPU parallelizing compiler used to partition, optimize, and run large-scale machine learning models across multiple TPU accelerators for internal (e.g. Google DeepMind ...

statistics, physics, computer science, electrical engineering or similar Exceptional academic record Strong programming ability in C++ or Python Rigorous grounding in probability, statistics and linear algebra Scientific scepticism, intellectual honesty and the ability to make progress on open-ended problems independently Preferred PhD in a quantitative discipline with ...

engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade-offs An ability to debug complex machine learning systems through meticulous attention to detail, testing ...

feature extraction from time-series or sequential data. Ability to develop and implement algorithms for real-time data processing and analysis. Strong foundation in linear algebra, geometry, and basic calculus. Good understanding of probability and statistical analysis. Good communication abilities, particularly in effectively and clearly explaining technical concepts ...

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 ...

engineering, health economic, or computing discipline, supported by deep expertise in algorithm development. A strong grounding in statistical and stochastic processes and/or linear algebra will set you up for success. A passion for algorithms and modelling, approaching complex challenges with curiosity and innovation. Proven ability ...

engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade‐offs An ability to debug complex machine learning systems through meticulous attention to detail, testing ...

Expert proficiency in C++ and C#, with a commitment to writing clean, maintainable, and efficient code. Strong 3D Maths: A firm grasp of the linear algebra and geometry that underpin cameras, character movement, animation, and gameplay systems. Unreal Engine Skills: Deep experience developing player-facing systems in Unreal ...

Experience Demonstrable programming experience in a creative environment. Shipped one or more AAA game titles, ideally using Unreal Engine. Advanced proficiency in C++, linear algebra, and 3D maths, with strong familiarity with Object‐Oriented design principles (OOP). Strong experience with Unreal Engine, Blueprints, and Unreal animation principles ...