131 Algorithm Development jobs in Canada

“Help shape the mathematical core of next-generation intelligent systems — from strategic vision to edge execution.”

Location: Remote / Hybrid / On-site (flexible based on candidate profile)

Security Clearance:  Eligibility Preferred

Employment Type: Full-Time / Contract-Based (initial 12–18 months, with extension options)

About the Role

We are looking for an exceptional Applied Mathematician to lead the algorithmic design of a groundbreaking AI system focused on image recognition and intelligent reasoning for military applications. This role is critical to the development of a next-generation AI framework based on successive approximation, heuristics, and computational geometry, enabling real-time decision-making in mission-critical environments.

You will work closely with AI/ML engineers, system architects, and infrastructure specialists to convert theoretical models into operational capabilities for perception systems, situational awareness, trajectory modeling, sensor fusion, and autonomous behaviors.

Key Responsibilities

• Design novel algorithms grounded in successive approximation, numerical analysis, and iterative convergence.
• Apply computational geometry, discrete optimization, and probabilistic reasoning to enhance computer vision and AI reasoning pipelines.
• Define and formalize convergence strategies, heuristic frameworks, and evaluation metrics tailored to specific military scenarios (e.g., object detection, trajectory generation, RF/thermal fusion).
• Collaborate with AI/ML engineers to integrate mathematical models into machine learning workflows and inference systems.
• Develop simulation environments to test and refine mathematical models under uncertainty, noise, and adversarial conditions.
• Provide mathematical oversight for AI systems operating on edge devices, UAVs, satellite imaging platforms, and real-time targeting systems.
• Document mathematical theory, modeling assumptions, and architectural blueprints for research continuity and IP protection.

Required Qualifications

• PhD in Mathematics, Applied Mathematics, Computational Mathematics, or equivalent field.
• 5+ years of experience applying mathematics in AI, defense, simulation, or high-performance computing systems.
• Deep understanding of:
• Successive approximation, fixed-point theory, and error convergence
• Optimization theory and discrete math
• Computational geometry, matrix algebra, and vector space transformations
• Probabilistic models (e.g., Bayesian inference, MCMC, statistical learning)
• Proficiency in mathematical programming tools such as Python (NumPy, SciPy), MATLAB, Mathematica, or Julia.

Preferred Qualifications

• Experience in AI/ML algorithm design (e.g., custom loss functions, optimization kernels).
• Familiarity with computer vision algorithms and geometric modeling for:
• Object detection and classification
• SLAM, spatial segmentation, 3D modeling
• Exposure to reinforcement learning or heuristic-guided search models.
• Knowledge of adversarial reasoning, anomaly detection, and signal processing for real-time inference systems.
• Publications, patents, or peer-reviewed contributions in applied mathematics or AI modeling.
• Understanding of security-sensitive environments and military-grade system constraints.

What We Offer

• Opportunity to work on cutting-edge national security and defense AI initiatives.
• A founding-level position with architectural and scientific influence.
• Competitive compensation and flexible work structure.
• Collaboration with an elite, multidisciplinary team across AI, defense tech, and R&D.
• Potential for long-term leadership in building a modular AI platform applicable to defense, aerospace, and critical infrastructure.

Application Instructions

Please send the following materials to ( ) :

• CV or Resume (with publication list if applicable)
• Statement of interest (1–2 paragraphs on your mathematical background and how it aligns with defense AI challenges)
• (Optional) Samples of mathematical models, publications, or code

“Help shape the mathematical core of next-generation intelligent systems — from strategic vision to edge execution.”

Location: Remote / Hybrid / On-site (flexible based on candidate profile)

Security Clearance:  Eligibility Preferred

Employment Type: Full-Time / Contract-Based (initial 12–18 months, with extension options)

About the Role

We are looking for an exceptional Applied Mathematician to lead the algorithmic design of a groundbreaking AI system focused on image recognition and intelligent reasoning for military applications. This role is critical to the development of a next-generation AI framework based on successive approximation, heuristics, and computational geometry, enabling real-time decision-making in mission-critical environments.

You will work closely with AI/ML engineers, system architects, and infrastructure specialists to convert theoretical models into operational capabilities for perception systems, situational awareness, trajectory modeling, sensor fusion, and autonomous behaviors.

Key Responsibilities

• Design novel algorithms grounded in successive approximation, numerical analysis, and iterative convergence.
• Apply computational geometry, discrete optimization, and probabilistic reasoning to enhance computer vision and AI reasoning pipelines.
• Define and formalize convergence strategies, heuristic frameworks, and evaluation metrics tailored to specific military scenarios (e.g., object detection, trajectory generation, RF/thermal fusion).
• Collaborate with AI/ML engineers to integrate mathematical models into machine learning workflows and inference systems.
• Develop simulation environments to test and refine mathematical models under uncertainty, noise, and adversarial conditions.
• Provide mathematical oversight for AI systems operating on edge devices, UAVs, satellite imaging platforms, and real-time targeting systems.
• Document mathematical theory, modeling assumptions, and architectural blueprints for research continuity and IP protection.

Required Qualifications

• PhD in Mathematics, Applied Mathematics, Computational Mathematics, or equivalent field.
• 5+ years of experience applying mathematics in AI, defense, simulation, or high-performance computing systems.
• Deep understanding of:
• Successive approximation, fixed-point theory, and error convergence
• Optimization theory and discrete math
• Computational geometry, matrix algebra, and vector space transformations
• Probabilistic models (e.g., Bayesian inference, MCMC, statistical learning)
• Proficiency in mathematical programming tools such as Python (NumPy, SciPy), MATLAB, Mathematica, or Julia.

Preferred Qualifications

• Experience in AI/ML algorithm design (e.g., custom loss functions, optimization kernels).
• Familiarity with computer vision algorithms and geometric modeling for:
• Object detection and classification
• SLAM, spatial segmentation, 3D modeling
• Exposure to reinforcement learning or heuristic-guided search models.
• Knowledge of adversarial reasoning, anomaly detection, and signal processing for real-time inference systems.
• Publications, patents, or peer-reviewed contributions in applied mathematics or AI modeling.
• Understanding of security-sensitive environments and military-grade system constraints.

What We Offer

• Opportunity to work on cutting-edge national security and defense AI initiatives.
• A founding-level position with architectural and scientific influence.
• Competitive compensation and flexible work structure.
• Collaboration with an elite, multidisciplinary team across AI, defense tech, and R&D.
• Potential for long-term leadership in building a modular AI platform applicable to defense, aerospace, and critical infrastructure.

Application Instructions

Please send the following materials to ( ) :

• CV or Resume (with publication list if applicable)
• Statement of interest (1–2 paragraphs on your mathematical background and how it aligns with defense AI challenges)
• (Optional) Samples of mathematical models, publications, or code

“Help shape the mathematical core of next-generation intelligent systems — from strategic vision to edge execution.”

Location: Remote / Hybrid / On-site (flexible based on candidate profile)

Security Clearance:  Eligibility Preferred

Employment Type: Full-Time / Contract-Based (initial 12–18 months, with extension options)

About the Role

We are looking for an exceptional Applied Mathematician to lead the algorithmic design of a groundbreaking AI system focused on image recognition and intelligent reasoning for military applications. This role is critical to the development of a next-generation AI framework based on successive approximation, heuristics, and computational geometry, enabling real-time decision-making in mission-critical environments.

You will work closely with AI/ML engineers, system architects, and infrastructure specialists to convert theoretical models into operational capabilities for perception systems, situational awareness, trajectory modeling, sensor fusion, and autonomous behaviors.

Key Responsibilities

• Design novel algorithms grounded in successive approximation, numerical analysis, and iterative convergence.
• Apply computational geometry, discrete optimization, and probabilistic reasoning to enhance computer vision and AI reasoning pipelines.
• Define and formalize convergence strategies, heuristic frameworks, and evaluation metrics tailored to specific military scenarios (e.g., object detection, trajectory generation, RF/thermal fusion).
• Collaborate with AI/ML engineers to integrate mathematical models into machine learning workflows and inference systems.
• Develop simulation environments to test and refine mathematical models under uncertainty, noise, and adversarial conditions.
• Provide mathematical oversight for AI systems operating on edge devices, UAVs, satellite imaging platforms, and real-time targeting systems.
• Document mathematical theory, modeling assumptions, and architectural blueprints for research continuity and IP protection.

Required Qualifications

• PhD in Mathematics, Applied Mathematics, Computational Mathematics, or equivalent field.
• 5+ years of experience applying mathematics in AI, defense, simulation, or high-performance computing systems.
• Deep understanding of:
• Successive approximation, fixed-point theory, and error convergence
• Optimization theory and discrete math
• Computational geometry, matrix algebra, and vector space transformations
• Probabilistic models (e.g., Bayesian inference, MCMC, statistical learning)
• Proficiency in mathematical programming tools such as Python (NumPy, SciPy), MATLAB, Mathematica, or Julia.

Preferred Qualifications

• Experience in AI/ML algorithm design (e.g., custom loss functions, optimization kernels).
• Familiarity with computer vision algorithms and geometric modeling for:
• Object detection and classification
• SLAM, spatial segmentation, 3D modeling
• Exposure to reinforcement learning or heuristic-guided search models.
• Knowledge of adversarial reasoning, anomaly detection, and signal processing for real-time inference systems.
• Publications, patents, or peer-reviewed contributions in applied mathematics or AI modeling.
• Understanding of security-sensitive environments and military-grade system constraints.

What We Offer

• Opportunity to work on cutting-edge national security and defense AI initiatives.
• A founding-level position with architectural and scientific influence.
• Competitive compensation and flexible work structure.
• Collaboration with an elite, multidisciplinary team across AI, defense tech, and R&D.
• Potential for long-term leadership in building a modular AI platform applicable to defense, aerospace, and critical infrastructure.

Application Instructions

Please send the following materials to ( ) :

• CV or Resume (with publication list if applicable)
• Statement of interest (1–2 paragraphs on your mathematical background and how it aligns with defense AI challenges)
• (Optional) Samples of mathematical models, publications, or code

“Help shape the mathematical core of next-generation intelligent systems — from strategic vision to edge execution.”

Location: Remote / Hybrid / On-site (flexible based on candidate profile)

Security Clearance:  Eligibility Preferred

Employment Type: Full-Time / Contract-Based (initial 12–18 months, with extension options)

About the Role

We are looking for an exceptional Applied Mathematician to lead the algorithmic design of a groundbreaking AI system focused on image recognition and intelligent reasoning for military applications. This role is critical to the development of a next-generation AI framework based on successive approximation, heuristics, and computational geometry, enabling real-time decision-making in mission-critical environments.

You will work closely with AI/ML engineers, system architects, and infrastructure specialists to convert theoretical models into operational capabilities for perception systems, situational awareness, trajectory modeling, sensor fusion, and autonomous behaviors.

Key Responsibilities

• Design novel algorithms grounded in successive approximation, numerical analysis, and iterative convergence.
• Apply computational geometry, discrete optimization, and probabilistic reasoning to enhance computer vision and AI reasoning pipelines.
• Define and formalize convergence strategies, heuristic frameworks, and evaluation metrics tailored to specific military scenarios (e.g., object detection, trajectory generation, RF/thermal fusion).
• Collaborate with AI/ML engineers to integrate mathematical models into machine learning workflows and inference systems.
• Develop simulation environments to test and refine mathematical models under uncertainty, noise, and adversarial conditions.
• Provide mathematical oversight for AI systems operating on edge devices, UAVs, satellite imaging platforms, and real-time targeting systems.
• Document mathematical theory, modeling assumptions, and architectural blueprints for research continuity and IP protection.

Required Qualifications

• PhD in Mathematics, Applied Mathematics, Computational Mathematics, or equivalent field.
• 5+ years of experience applying mathematics in AI, defense, simulation, or high-performance computing systems.
• Deep understanding of:
• Successive approximation, fixed-point theory, and error convergence
• Optimization theory and discrete math
• Computational geometry, matrix algebra, and vector space transformations
• Probabilistic models (e.g., Bayesian inference, MCMC, statistical learning)
• Proficiency in mathematical programming tools such as Python (NumPy, SciPy), MATLAB, Mathematica, or Julia.

Preferred Qualifications

• Experience in AI/ML algorithm design (e.g., custom loss functions, optimization kernels).
• Familiarity with computer vision algorithms and geometric modeling for:
• Object detection and classification
• SLAM, spatial segmentation, 3D modeling
• Exposure to reinforcement learning or heuristic-guided search models.
• Knowledge of adversarial reasoning, anomaly detection, and signal processing for real-time inference systems.
• Publications, patents, or peer-reviewed contributions in applied mathematics or AI modeling.
• Understanding of security-sensitive environments and military-grade system constraints.

What We Offer

• Opportunity to work on cutting-edge national security and defense AI initiatives.
• A founding-level position with architectural and scientific influence.
• Competitive compensation and flexible work structure.
• Collaboration with an elite, multidisciplinary team across AI, defense tech, and R&D.
• Potential for long-term leadership in building a modular AI platform applicable to defense, aerospace, and critical infrastructure.

Application Instructions

Please send the following materials to ( ) :

• CV or Resume (with publication list if applicable)
• Statement of interest (1–2 paragraphs on your mathematical background and how it aligns with defense AI challenges)
• (Optional) Samples of mathematical models, publications, or code

“Help shape the mathematical core of next-generation intelligent systems — from strategic vision to edge execution.”

Location: Remote / Hybrid / On-site (flexible based on candidate profile)

Security Clearance:  Eligibility Preferred

Employment Type: Full-Time / Contract-Based (initial 12–18 months, with extension options)

About the Role

We are looking for an exceptional Applied Mathematician to lead the algorithmic design of a groundbreaking AI system focused on image recognition and intelligent reasoning for military applications. This role is critical to the development of a next-generation AI framework based on successive approximation, heuristics, and computational geometry, enabling real-time decision-making in mission-critical environments.

You will work closely with AI/ML engineers, system architects, and infrastructure specialists to convert theoretical models into operational capabilities for perception systems, situational awareness, trajectory modeling, sensor fusion, and autonomous behaviors.

Key Responsibilities

• Design novel algorithms grounded in successive approximation, numerical analysis, and iterative convergence.
• Apply computational geometry, discrete optimization, and probabilistic reasoning to enhance computer vision and AI reasoning pipelines.
• Define and formalize convergence strategies, heuristic frameworks, and evaluation metrics tailored to specific military scenarios (e.g., object detection, trajectory generation, RF/thermal fusion).
• Collaborate with AI/ML engineers to integrate mathematical models into machine learning workflows and inference systems.
• Develop simulation environments to test and refine mathematical models under uncertainty, noise, and adversarial conditions.
• Provide mathematical oversight for AI systems operating on edge devices, UAVs, satellite imaging platforms, and real-time targeting systems.
• Document mathematical theory, modeling assumptions, and architectural blueprints for research continuity and IP protection.

Required Qualifications

• PhD in Mathematics, Applied Mathematics, Computational Mathematics, or equivalent field.
• 5+ years of experience applying mathematics in AI, defense, simulation, or high-performance computing systems.
• Deep understanding of:
• Successive approximation, fixed-point theory, and error convergence
• Optimization theory and discrete math
• Computational geometry, matrix algebra, and vector space transformations
• Probabilistic models (e.g., Bayesian inference, MCMC, statistical learning)
• Proficiency in mathematical programming tools such as Python (NumPy, SciPy), MATLAB, Mathematica, or Julia.

Preferred Qualifications

• Experience in AI/ML algorithm design (e.g., custom loss functions, optimization kernels).
• Familiarity with computer vision algorithms and geometric modeling for:
• Object detection and classification
• SLAM, spatial segmentation, 3D modeling
• Exposure to reinforcement learning or heuristic-guided search models.
• Knowledge of adversarial reasoning, anomaly detection, and signal processing for real-time inference systems.
• Publications, patents, or peer-reviewed contributions in applied mathematics or AI modeling.
• Understanding of security-sensitive environments and military-grade system constraints.

What We Offer

• Opportunity to work on cutting-edge national security and defense AI initiatives.
• A founding-level position with architectural and scientific influence.
• Competitive compensation and flexible work structure.
• Collaboration with an elite, multidisciplinary team across AI, defense tech, and R&D.
• Potential for long-term leadership in building a modular AI platform applicable to defense, aerospace, and critical infrastructure.

Application Instructions

Please send the following materials to ( ) :

• CV or Resume (with publication list if applicable)
• Statement of interest (1–2 paragraphs on your mathematical background and how it aligns with defense AI challenges)
• (Optional) Samples of mathematical models, publications, or code

“Help shape the mathematical core of next-generation intelligent systems — from strategic vision to edge execution.”

Location: Remote / Hybrid / On-site (flexible based on candidate profile)

Security Clearance:  Eligibility Preferred

Employment Type: Full-Time / Contract-Based (initial 12–18 months, with extension options)

About the Role

We are looking for an exceptional Applied Mathematician to lead the algorithmic design of a groundbreaking AI system focused on image recognition and intelligent reasoning for military applications. This role is critical to the development of a next-generation AI framework based on successive approximation, heuristics, and computational geometry, enabling real-time decision-making in mission-critical environments.

You will work closely with AI/ML engineers, system architects, and infrastructure specialists to convert theoretical models into operational capabilities for perception systems, situational awareness, trajectory modeling, sensor fusion, and autonomous behaviors.

Key Responsibilities

• Design novel algorithms grounded in successive approximation, numerical analysis, and iterative convergence.
• Apply computational geometry, discrete optimization, and probabilistic reasoning to enhance computer vision and AI reasoning pipelines.
• Define and formalize convergence strategies, heuristic frameworks, and evaluation metrics tailored to specific military scenarios (e.g., object detection, trajectory generation, RF/thermal fusion).
• Collaborate with AI/ML engineers to integrate mathematical models into machine learning workflows and inference systems.
• Develop simulation environments to test and refine mathematical models under uncertainty, noise, and adversarial conditions.
• Provide mathematical oversight for AI systems operating on edge devices, UAVs, satellite imaging platforms, and real-time targeting systems.
• Document mathematical theory, modeling assumptions, and architectural blueprints for research continuity and IP protection.

Required Qualifications

• PhD in Mathematics, Applied Mathematics, Computational Mathematics, or equivalent field.
• 5+ years of experience applying mathematics in AI, defense, simulation, or high-performance computing systems.
• Deep understanding of:
• Successive approximation, fixed-point theory, and error convergence
• Optimization theory and discrete math
• Computational geometry, matrix algebra, and vector space transformations
• Probabilistic models (e.g., Bayesian inference, MCMC, statistical learning)
• Proficiency in mathematical programming tools such as Python (NumPy, SciPy), MATLAB, Mathematica, or Julia.

Preferred Qualifications

• Experience in AI/ML algorithm design (e.g., custom loss functions, optimization kernels).
• Familiarity with computer vision algorithms and geometric modeling for:
• Object detection and classification
• SLAM, spatial segmentation, 3D modeling
• Exposure to reinforcement learning or heuristic-guided search models.
• Knowledge of adversarial reasoning, anomaly detection, and signal processing for real-time inference systems.
• Publications, patents, or peer-reviewed contributions in applied mathematics or AI modeling.
• Understanding of security-sensitive environments and military-grade system constraints.

What We Offer

• Opportunity to work on cutting-edge national security and defense AI initiatives.
• A founding-level position with architectural and scientific influence.
• Competitive compensation and flexible work structure.
• Collaboration with an elite, multidisciplinary team across AI, defense tech, and R&D.
• Potential for long-term leadership in building a modular AI platform applicable to defense, aerospace, and critical infrastructure.

Application Instructions

Please send the following materials to ( ) :

• CV or Resume (with publication list if applicable)
• Statement of interest (1–2 paragraphs on your mathematical background and how it aligns with defense AI challenges)
• (Optional) Samples of mathematical models, publications, or code

“Help shape the mathematical core of next-generation intelligent systems — from strategic vision to edge execution.”

Location: Remote / Hybrid / On-site (flexible based on candidate profile)

Security Clearance:  Eligibility Preferred

Employment Type: Full-Time / Contract-Based (initial 12–18 months, with extension options)

About the Role

We are looking for an exceptional Applied Mathematician to lead the algorithmic design of a groundbreaking AI system focused on image recognition and intelligent reasoning for military applications. This role is critical to the development of a next-generation AI framework based on successive approximation, heuristics, and computational geometry, enabling real-time decision-making in mission-critical environments.

You will work closely with AI/ML engineers, system architects, and infrastructure specialists to convert theoretical models into operational capabilities for perception systems, situational awareness, trajectory modeling, sensor fusion, and autonomous behaviors.

Key Responsibilities

• Design novel algorithms grounded in successive approximation, numerical analysis, and iterative convergence.
• Apply computational geometry, discrete optimization, and probabilistic reasoning to enhance computer vision and AI reasoning pipelines.
• Define and formalize convergence strategies, heuristic frameworks, and evaluation metrics tailored to specific military scenarios (e.g., object detection, trajectory generation, RF/thermal fusion).
• Collaborate with AI/ML engineers to integrate mathematical models into machine learning workflows and inference systems.
• Develop simulation environments to test and refine mathematical models under uncertainty, noise, and adversarial conditions.
• Provide mathematical oversight for AI systems operating on edge devices, UAVs, satellite imaging platforms, and real-time targeting systems.
• Document mathematical theory, modeling assumptions, and architectural blueprints for research continuity and IP protection.

Required Qualifications

• PhD in Mathematics, Applied Mathematics, Computational Mathematics, or equivalent field.
• 5+ years of experience applying mathematics in AI, defense, simulation, or high-performance computing systems.
• Deep understanding of:
• Successive approximation, fixed-point theory, and error convergence
• Optimization theory and discrete math
• Computational geometry, matrix algebra, and vector space transformations
• Probabilistic models (e.g., Bayesian inference, MCMC, statistical learning)
• Proficiency in mathematical programming tools such as Python (NumPy, SciPy), MATLAB, Mathematica, or Julia.

Preferred Qualifications

• Experience in AI/ML algorithm design (e.g., custom loss functions, optimization kernels).
• Familiarity with computer vision algorithms and geometric modeling for:
• Object detection and classification
• SLAM, spatial segmentation, 3D modeling
• Exposure to reinforcement learning or heuristic-guided search models.
• Knowledge of adversarial reasoning, anomaly detection, and signal processing for real-time inference systems.
• Publications, patents, or peer-reviewed contributions in applied mathematics or AI modeling.
• Understanding of security-sensitive environments and military-grade system constraints.

What We Offer

• Opportunity to work on cutting-edge national security and defense AI initiatives.
• A founding-level position with architectural and scientific influence.
• Competitive compensation and flexible work structure.
• Collaboration with an elite, multidisciplinary team across AI, defense tech, and R&D.
• Potential for long-term leadership in building a modular AI platform applicable to defense, aerospace, and critical infrastructure.

Application Instructions

Please send the following materials to ( ) :

• CV or Resume (with publication list if applicable)
• Statement of interest (1–2 paragraphs on your mathematical background and how it aligns with defense AI challenges)
• (Optional) Samples of mathematical models, publications, or code

“Help shape the mathematical core of next-generation intelligent systems — from strategic vision to edge execution.”

Location: Remote / Hybrid / On-site (flexible based on candidate profile)

Security Clearance:  Eligibility Preferred

Employment Type: Full-Time / Contract-Based (initial 12–18 months, with extension options)

About the Role

We are looking for an exceptional Applied Mathematician to lead the algorithmic design of a groundbreaking AI system focused on image recognition and intelligent reasoning for military applications. This role is critical to the development of a next-generation AI framework based on successive approximation, heuristics, and computational geometry, enabling real-time decision-making in mission-critical environments.

You will work closely with AI/ML engineers, system architects, and infrastructure specialists to convert theoretical models into operational capabilities for perception systems, situational awareness, trajectory modeling, sensor fusion, and autonomous behaviors.

Key Responsibilities

• Design novel algorithms grounded in successive approximation, numerical analysis, and iterative convergence.
• Apply computational geometry, discrete optimization, and probabilistic reasoning to enhance computer vision and AI reasoning pipelines.
• Define and formalize convergence strategies, heuristic frameworks, and evaluation metrics tailored to specific military scenarios (e.g., object detection, trajectory generation, RF/thermal fusion).
• Collaborate with AI/ML engineers to integrate mathematical models into machine learning workflows and inference systems.
• Develop simulation environments to test and refine mathematical models under uncertainty, noise, and adversarial conditions.
• Provide mathematical oversight for AI systems operating on edge devices, UAVs, satellite imaging platforms, and real-time targeting systems.
• Document mathematical theory, modeling assumptions, and architectural blueprints for research continuity and IP protection.

Required Qualifications

• PhD in Mathematics, Applied Mathematics, Computational Mathematics, or equivalent field.
• 5+ years of experience applying mathematics in AI, defense, simulation, or high-performance computing systems.
• Deep understanding of:
• Successive approximation, fixed-point theory, and error convergence
• Optimization theory and discrete math
• Computational geometry, matrix algebra, and vector space transformations
• Probabilistic models (e.g., Bayesian inference, MCMC, statistical learning)
• Proficiency in mathematical programming tools such as Python (NumPy, SciPy), MATLAB, Mathematica, or Julia.

Preferred Qualifications

• Experience in AI/ML algorithm design (e.g., custom loss functions, optimization kernels).
• Familiarity with computer vision algorithms and geometric modeling for:
• Object detection and classification
• SLAM, spatial segmentation, 3D modeling
• Exposure to reinforcement learning or heuristic-guided search models.
• Knowledge of adversarial reasoning, anomaly detection, and signal processing for real-time inference systems.
• Publications, patents, or peer-reviewed contributions in applied mathematics or AI modeling.
• Understanding of security-sensitive environments and military-grade system constraints.

What We Offer

• Opportunity to work on cutting-edge national security and defense AI initiatives.
• A founding-level position with architectural and scientific influence.
• Competitive compensation and flexible work structure.
• Collaboration with an elite, multidisciplinary team across AI, defense tech, and R&D.
• Potential for long-term leadership in building a modular AI platform applicable to defense, aerospace, and critical infrastructure.

Application Instructions

Please send the following materials to ( ) :

• CV or Resume (with publication list if applicable)
• Statement of interest (1–2 paragraphs on your mathematical background and how it aligns with defense AI challenges)
• (Optional) Samples of mathematical models, publications, or code

“Help shape the mathematical core of next-generation intelligent systems — from strategic vision to edge execution.”

Location: Remote / Hybrid / On-site (flexible based on candidate profile)

Security Clearance:  Eligibility Preferred

Employment Type: Full-Time / Contract-Based (initial 12–18 months, with extension options)

About the Role

We are looking for an exceptional Applied Mathematician to lead the algorithmic design of a groundbreaking AI system focused on image recognition and intelligent reasoning for military applications. This role is critical to the development of a next-generation AI framework based on successive approximation, heuristics, and computational geometry, enabling real-time decision-making in mission-critical environments.

You will work closely with AI/ML engineers, system architects, and infrastructure specialists to convert theoretical models into operational capabilities for perception systems, situational awareness, trajectory modeling, sensor fusion, and autonomous behaviors.

Key Responsibilities

• Design novel algorithms grounded in successive approximation, numerical analysis, and iterative convergence.
• Apply computational geometry, discrete optimization, and probabilistic reasoning to enhance computer vision and AI reasoning pipelines.
• Define and formalize convergence strategies, heuristic frameworks, and evaluation metrics tailored to specific military scenarios (e.g., object detection, trajectory generation, RF/thermal fusion).
• Collaborate with AI/ML engineers to integrate mathematical models into machine learning workflows and inference systems.
• Develop simulation environments to test and refine mathematical models under uncertainty, noise, and adversarial conditions.
• Provide mathematical oversight for AI systems operating on edge devices, UAVs, satellite imaging platforms, and real-time targeting systems.
• Document mathematical theory, modeling assumptions, and architectural blueprints for research continuity and IP protection.

Required Qualifications

• PhD in Mathematics, Applied Mathematics, Computational Mathematics, or equivalent field.
• 5+ years of experience applying mathematics in AI, defense, simulation, or high-performance computing systems.
• Deep understanding of:
• Successive approximation, fixed-point theory, and error convergence
• Optimization theory and discrete math
• Computational geometry, matrix algebra, and vector space transformations
• Probabilistic models (e.g., Bayesian inference, MCMC, statistical learning)
• Proficiency in mathematical programming tools such as Python (NumPy, SciPy), MATLAB, Mathematica, or Julia.

Preferred Qualifications

• Experience in AI/ML algorithm design (e.g., custom loss functions, optimization kernels).
• Familiarity with computer vision algorithms and geometric modeling for:
• Object detection and classification
• SLAM, spatial segmentation, 3D modeling
• Exposure to reinforcement learning or heuristic-guided search models.
• Knowledge of adversarial reasoning, anomaly detection, and signal processing for real-time inference systems.
• Publications, patents, or peer-reviewed contributions in applied mathematics or AI modeling.
• Understanding of security-sensitive environments and military-grade system constraints.

What We Offer

• Opportunity to work on cutting-edge national security and defense AI initiatives.
• A founding-level position with architectural and scientific influence.
• Competitive compensation and flexible work structure.
• Collaboration with an elite, multidisciplinary team across AI, defense tech, and R&D.
• Potential for long-term leadership in building a modular AI platform applicable to defense, aerospace, and critical infrastructure.

Application Instructions

Please send the following materials to ( ) :

• CV or Resume (with publication list if applicable)
• Statement of interest (1–2 paragraphs on your mathematical background and how it aligns with defense AI challenges)
• (Optional) Samples of mathematical models, publications, or code