1 to 25 of 108 Permanent Linear Algebra Jobs

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 ...

/LangGraph and/or Google ADK.Strong Python and SQL; able to write clean, production-ready code.Strong AI/ML fundamentals, including statistics, probability, linear algebra, and model evaluation.Experience with scikit-learn and either PyTorch or TensorFlow.Practical DevOps mindset: testing, CI/CD, reproducibility, code quality, and operational ...

/or Google ADK. Strong Python and SQL; able to write clean, production-ready code. Strong AI/ML fundamentals, including statistics, probability, linear algebra, and model evaluation. Experience with scikit-learn and either PyTorch or TensorFlow. Practical DevOps mindset: testing, CI/CD, reproducibility, code quality ...

/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 ...

/or Google ADK. Strong Python and SQL; able to write clean, production-ready code. Strong AI/ML fundamentals, including statistics, probability, linear algebra, and model evaluation. Experience with scikit-learn and either PyTorch or TensorFlow. Practical DevOps mindset: testing, CI/CD, reproducibility, code quality ...

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 ...

Python are fundamental, alongside proficiency with ML frameworks like TensorFlow and PyTorch. Machine Learning Engineers need solid mathematics and statistics knowledge, particularly in linear algebra, calculus, and probability theory. Experience with cloud platforms (AWS, GCP, Azure) is essential for deploying models at scale. Skills in data preprocessing, feature ...

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 ...

with natural language processing technology, including LLMs and prompt engineering is a plus Strong quantitative skills with demonstrated understanding of mathematics, probability, statistics and linear algebra Nuanced understanding of economic and financial concepts and demonstrated intuition around applying these concepts in a quantitative environment Ability to work independently ...

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 ...

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 ...

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. ...

including frameworks for building with large language models alongside libraries such as pandas, NumPy and scikit-learn.Strong mathematical and statistical foundations, including probability, statistics, linear algebra and optimization, and the ability to reason rigorously about uncertainty, error and model behavior.A sound grounding in machine learning, including model validation ...

frameworks for building with large language models alongside libraries such as pandas, NumPy and scikit-learn. Strong mathematical and statistical foundations, including probability, statistics, linear algebra and optimization, and the ability to reason rigorously about uncertainty, error and model behavior. A sound grounding in machine learning, including model ...

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 ...

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 ...

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 ...