1 to 25 of 27 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 ...

domain analysis, filtering, statistical signal processing and estimation theory Track record of shipping silicon with DSP or RF/Analog sub-systems. Understanding of linear algebra concepts, including matrix math and linear regression. Comfort with large-scale collection and processing of signals. Commitment to quality and engineering ...

domain analysis, filtering, statistical signal processing and estimation theory Track record of shipping silicon with DSP or RF/Analog sub-systems. Understanding of linear algebra concepts, including matrix math and linear regression. Comfort with large-scale collection and processing of signals. Commitment to quality and engineering ...

domain analysis, filtering, statistical signal processing and estimation theory Track record of shipping silicon with DSP or RF/Analog sub-systems. Understanding of linear algebra concepts, including matrix math and linear regression. Comfort with large-scale collection and processing of signals. Commitment to quality and engineering ...

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 ...

deep learning neural networks (e.g., CNN) for computer vision, image processing, or analyses, e.g., object detection, image segmentation, and tracking) Strong math background, particularly linear algebra and optimization theory Proficiency in Python Experience with deep learning libraries (Keras, TensorFlow, Pytorch, etc) Software engineering fundamentals: version control, testing ...

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 ...

fuzzy systems (TSK, etc.), tree ensemble methods (Bayesian, bagging, boosting, etc.), NNs (supervised), others; Experience applying advanced math and statistics, especially optimization and related linear algebra techniques. Preferred Qualifications: PhD in Electrical Engineering, Computer Science, Computer Engineering or related field; Proficiency in at least 1 hard programming language ...

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 ...

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 ...

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 ...

program requirements. Ability to obtain and maintain a U.S. Government Security Clearance. THESE QUALIFICATIONS WOULD BE NICE TO HAVE Strong math background, particularly linear algebra. Experience with modern, deep-learning-based approaches to computer vision. Experience with space-looking or space-based imaging systems. Experience with sensor calibration procedures ...

program requirements. Ability to obtain and maintain a U.S. Government Security Clearance. THESE QUALIFICATIONS WOULD BE NICE TO HAVE Strong math background, particularly linear algebra. Experience with modern, deep-learning-based approaches to computer vision. Experience with space-looking or space-based imaging systems. Experience with sensor calibration procedures ...

program requirements. Ability to obtain and maintain a U.S. Government Security Clearance. THESE QUALIFICATIONS WOULD BE NICE TO HAVE Strong math background, particularly linear algebra. Experience with modern, deep-learning-based approaches to computer vision. Experience with space-looking or space-based imaging systems. Experience with sensor calibration procedures ...