1 to 25 of 97 Permanent Linear Algebra Jobs

supporting 5G NR/5G Advanced/6G development and 3GPP RAN1/RAN2 standardisation activities. Candidates should bring expert-level digital signal processing, linear algebra/statistics and algorithm development experience (synchronisation, channel estimation, equalisation/MIMO detection, decoding), strong C++/OO programming, link/system … documentation for the projects assigned. Following the company's life cycle and QA procedures. Essential Experience and Knowledge: Expert-level digital signal processing skills. Linear algebra, probability theory and statistics. Experience of algorithm development (synchronization and tracking, channel estimation, equalization and MIMO detection, de-mapping and decoding ...

primitive extraction Design efficient algorithms for large-scale, unstructured 3D datasets with attention to memory and runtime performance Implement production-grade computational geometry and linear algebra in C++ and Python Solve complex reconstruction challenges such as loop closure, global consistency, and multi-view fusion Evaluate and integrate emerging … with specialization in 3D vision or geometric processing Strong proficiency in modern C++ (C+/17) and Python Solid mathematical foundation in 3D geometry, linear algebra, rigid body transformations (SE(3), quaternions), and projective geometry Deep experience with point cloud algorithms (ICP, GICP, RANSAC, NDT, region growing ...

experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit‐learn. Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus. Collaborative, humble and enthusiastic attitude. Preferred Qualifications, Capabilities and Skills Experience deploying on AWS cloud infrastructure using Lambda, Glue ...

/IP DNS NAT TLS/HTTPS Routing Load balancing Firewalls Congestion control Mathematics for Computing Logic Discrete maths Probability Statistics Graph theory Linear algebra Boolean algebra Combinatorics Proofs Number theory Distributed & Cloud Systems Replication Partitioning CAP theorem Event-driven architecture Idempotency Eventual consistency Queues & streams Serverless ...

with experience in Git, Linux, and REST APIs Expert experience in Backend Development - API design, database integration, containerization (Docker) Fundamental understanding of Math & Statistics - Linear algebra, probability, and/or calculus for ML theory Experience with MLOps tooling and workflow orchestration - experiment tracking and model registry (MLflow ...

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 ...

data pipelines and ETL processes, directly contributing to the team's delivery of secure and stable data architectures Applies advanced data modeling techniques, including linear algebra, statistics, and geometrical algorithms to solve real world business challenges and drive actionable insights Collaborates closely with cross-functional teams to integrate ...

data pipelines and ETL processes, directly contributing to the team's delivery of secure and stable data architectures Applies advanced data modeling techniques, including linear algebra, statistics, and geometrical algorithms to solve real world business challenges and drive actionable insights Collaborates closely with cross-functional teams to integrate ...

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 ...

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 probability Deep proficiency in Python; experience with R and/or C/C++ is a strong plus Extensive experience ...

equivalent in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering etc.)Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra.Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine ...

scalable ETL/data pipelines. Experience with AWS, Azure, GCP cloud infrastructures. Containerization and Automation (Docker, Kubernetes, Jenkins, GitHub Actions). Solid foundations in linear algebra, calculus, probability/statistics; familiarity with responsible AI practices, ethics, bias, and governance a plus. Excellent communication skills to engage both technical ...

data querying (eg SQL, Tableau, PowerBI, matplotlib) Experience developing and understanding computer vision and machine learning algorithms (models development in pytorch, tensorflow, experience with linear algebra, optimization etc.) Ability to quickly learn state of the art technologies, state of the art research in the domains of computer vision ...

data querying (eg SQL, Tableau, PowerBI, matplotlib) Experience developing and understanding computer vision and machine learning algorithms (models development in pytorch, tensorflow, experience with linear algebra, optimization etc.) Ability to quickly learn state of the art technologies, state of the art research in the domains of computer vision ...

build and make predictions with those models Strong understanding of machine learning approaches and algorithms Deep understanding of Statistical/Probabilistic programming and Linear Algebra Be an expert in (Python, R, SQL) programming for Data Science and Time Series analysis Have in depth understanding of statistical modelling/ ...

technical field.A proven track record in machine learning using deep learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation.Strong knowledge of linear algebra, calculus and statistics.Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.A passion ...

proven track record in machine learning using deep learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation. Strong knowledge of linear algebra, calculus and statistics. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. ...

with data. Exposure to software development practices (version control with Git, debugging, documentation) is a plus. Mathematical & Analytical Skills: Coursework or experience with statistics, linear algebra, or numerical methods. Interest in applying engineering and data analysis to solve real-world problems. Problem-Solving: Curiosity and analytical thinking ...

with data. Exposure to software development practices (version control with Git, debugging, documentation) is a plus. Mathematical & Analytical Skills: Coursework or experience with statistics, linear algebra, or numerical methods. Interest in applying engineering and data analysis to solve real-world problems. Problem-Solving: Curiosity and analytical thinking ...

post-training, reasoning, test-time scaling, tool-use, alignment, agents, LLM research, as well as reinforcement learning and fine-tuning Strong knowledge of linear algebra, calculus and statistics.Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.Depending on your ...

Qualifications Education: Bachelor's degree in Computer Science, Electrical Engineering, Robotics, Mathematics, or a related technical field. Spatial Mathematics: Solid foundational understanding of linear algebra, geometry, coordinate systems, and rigid-body transformations. 3D Perception Stack: Hands-on experience with 3D computer vision and perception algorithms, including point cloud … Imaging & Optics: Understanding of camera and imaging systems, including camera calibration, pinhole camera models, stereo vision, and depth sensing technologies. Mathematical Optimization: Background in linear and nonlinear optimization, with practical experience applying optimization techniques to computer vision, robotics, or perception problems. Advanced AI Evaluation: Knowledge of machine learning ...

Qualifications Education: Bachelor's degree in Computer Science, Electrical Engineering, Robotics, Mathematics, or a related technical field. Spatial Mathematics: Solid foundational understanding of linear algebra, geometry, coordinate systems, and rigid-body transformations. 3D Perception Stack: Hands-on experience with 3D computer vision and perception algorithms, including point cloud … Imaging & Optics: Understanding of camera and imaging systems, including camera calibration, pinhole camera models, stereo vision, and depth sensing technologies. Mathematical Optimization: Background in linear and nonlinear optimization, with practical experience applying optimization techniques to computer vision, robotics, or perception problems. Advanced AI Evaluation: Knowledge of machine learning ...

methods, and financial technology What We're Looking For Strong foundation in advanced mathematics and statistics, including probability theory, stochastic calculus, numerical methods, and linear algebra Experience with data analytic tools such as SQL, Pandas, Jupyter, or similar, with an emphasis on financial time-series and market data ...

methods, and financial technology What We're Looking For Strong foundation in advanced mathematics and statistics, including probability theory, stochastic calculus, numerical methods, and linear algebra Experience with data analytic tools such as SQL, Pandas, Jupyter, or similar, with an emphasis on financial time-series and market data ...

radar signal processing or related sensor processing applications Demonstrated expertise in developing and implementing algorithms in Python and C++ Strong foundation in numerical methods, linear algebra, probability/statistics, and optimization techniques Experience working with real radar data (e.g., I/Q samples, pulse compressed data, tracking data ...