121 AI Development jobs in Canada

Job Description

Salary: $55,000 - $0,000 per year

LDS - Learn. Develop. Succeed. is a growing, innovative, research-based, educational charity serving children, youth,andadults withdiagnosed or suspected learning differences.

We offer individualized, evidence-based, and technology-embracing programs tailored to student-specific learning needs. Our services are offered live online across BC, at our Learning Centres in East Vancouver and North Vancouver, in schools, and through our mobile classroom.

Learn more about our mission andimpacthere:

We are a diverse team of dedicated, caring professionals making a real difference in the lives of learners, families, and communities. We welcome new skills, energy, and talent to grow our team, deepen our impact, and advance our mission.

Purpose of Position

The AI Development Manager is a key member of our RISE Next Generation AI team. The goal of this game changing initiative is to develop and implement our next-generation PEAK platform, which integrates advanced technologiesincluding artificial intelligence and modern information systemsto:

• Enhance student learning experiences and outcomes
• Increase instructor effectiveness and capacity
• Strengthen organizational efficiency
• Expand LDSs ability to serve significantly more learners

The AI Development Manager provides support in the assessment, design, development, testing implementation and management of newAI-basedtoolsused by our team and thelearners and families we serve.

Note: this role was previously posted as as an AI Development Assistant. With organizational growth, we have reshaped the position. Applicants to the prior posting are encouraged to re-apply if they meet the updated qualifications

Principal Roles and Responsibilities

• Develop, test, and maintain our full-stack platform
• Collect and synthesize feedback from staff and stakeholders to guide iterative development
• Build Machine Learning based algorithms and LLM workflows (e.g. data classification, matching algorithms)
• Support structured data imports, database queries, organization, and validation of data
• Perform quality assurance testing on frontend/backend features.
• Draft and refine user-facing documentation and internal processnotes, including schemes, API integrations, and sync logic
• Contribute to research and prototyping of AI/EdTech tools relevant to our roadmap
• Support the team with general eventsandoutreach asrequired.

Competencies

• 2-4 years of proven software development experience
• Demonstrated strong organizational and time management skills
• Excellent written, verbal, and interpersonal communication
• Collaborative team orientation with a supportive approach
• Self-motivated and able to work independently
• Background in engineering or science, ideally with exposure to AI, machine learning, or related disciplines
• Experience working on research projects with iterative, adaptive methodology

Technical Experience

• Proficiency in Python and JavaScript (AI and web app development): specifically, Django(for backend web development), ReactandNext.js (frontend)
• Experience with RESTful APIs and third-party integrations
• Database experience (PostgreSQL or SQLite), including queries and light data wrangling
• Familiarity with large language model APIs (e.g., OpenAI, Claude)
• Strong experience using collaborative development environments (e.g., GitHub)
• Prompt engineering or LLM-based workflow design

Qualifications **please clearly state how you meet these minimum qualifications

• Undergraduate degree in computer science, engineering, or a related field
• 2-4 years of directly related work experience

Requirements

• Criminal record check with vulnerable sector screening
• Eligibility to work in Canada
• Strong values alignment with our charitable mission

Start date: As soon as possible

End date:Ongoing

Reports to:Senior Manager,Technology

Hours of work:40paidhours per week.The generalschedule could be8:30am 5:00pm, Monday to Friday, or similar.

Remunerationand Benefits: Salary range of 55-70,000 per annum, based on 40 working hours, commensuratewitheducationand experience

• At least 4% paid vacation
• Neuroaffirmingand inclusive workplace
• Values-based organization with collaborative peers with a wide range of backgrounds and talents
• Inclusive culture and innovative workplace with opportunity fornew approachesand growth

LDS is proud to be a certified Living Wage Employer in BC

Location:LDSEast VancouverLearning Centre,locatedat Rupert and East Broadway. Easily accessible bySkyTrainor bus.

Job Type: Full-time ongoing role

Equity: LDS is committed to employment equity and believes that a workforce that reflects the diversity of the communities we serve strengthens our ability to achieve our mission. We strongly encourage applicants of all genders, ethnic and cultural backgrounds, sexual orientations, abilities,and witha range of life experiences to apply.

Accessibility:Please note, LDSmain officespace islocatedon the ground floor of the building.

How to apply:Please apply directly through our careers page

The position will be open until filled. Applications will be considered as received. Only shortlisted candidates will be contacted. Thank you for your interest. We look forward to hearing from you.

Job Description

Software International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and mid-sized organizations in Canada/US. We are currently hiring for a Senior Software Developer Agentic AI Application Development for our global IT M&A client in the Toronto area.

Role: Senior Software Developer Agentic AI Application Development

Type: Fulltime, Perm

Salary Range: $100,000 - $130,000 as base depending on overall experience + bonus + vacation + benefits + other great company perks such as AI tooling and AI conference budget.

Location: Remote - Mississauga, ON, Canada

Remote within the United States or Canada (workday overlap from Pacific to Eastern time zones)

We are seeking a Senior Software Developer to help pioneer the next generation of agentic applications software systems that leverage autonomous agents, large language models, and adaptive workflows to augment and accelerate human decision-making. In this role, youll design, build, and scale intelligent services and applications that seamlessly blend traditional engineering practices with cutting-edge AI-driven automation.

Youll work in a small, high-impact team that values experimentation, rapid iteration, and quality engineering. This is a chance to shape how agentic applications are built, deployed, and adopted in real-world environments.

• Architect, build, and maintain applications that integrate autonomous agents and LLMs into end-to-end workflows.
• Design APIs, services, and event-driven components that allow agents to interact with systems, data, and users effectively.
• Ensure applications are resilient, secure, and adaptable in production environments.

• Pilot and integrate agent frameworks, orchestration layers, and multi-agent systems.
• Automate repetitive tasks including code generation, testing, monitoring, and documentation.
• Continuously evaluate and incorporate emerging AI tooling.

• Define and codify best practices for designing, deploying, and monitoring agentic workflows.
• Coach peers on prompt engineering, guardrails, and safe deployment of autonomous agents.
• Establish patterns for observability, safety, and human-in-the-loop validation.

• Set high standards for design, code quality, and testing.
• Conduct architecture reviews and mentor other developers in building AI-powered systems.
• Stay current with research and industry trends in autonomous agents and applied LLMs.

• Deliver high-quality applications with strong reliability, security, and performance.
• Optimize for scalability and cost efficiency in cloud-native environments.
• Own the lifecycle from prototyping to production deployment.

• 5+ years of experience building and shipping production software systems.
• Strong background in designing APIs, distributed systems, and event-driven architectures.
• Proficiency in at least one statically typed language (Go, Java, C#) and one scripting language (Python, TypeScript, Bash).
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes).
• Demonstrated use of AI/LLM tooling in professional or side projects.
• Curiosity and creativity in exploring agentic workflows and autonomous development approaches.
• Strong communication skills and ability to collaborate across remote-first teams.

• Experience with multi-agent frameworks, orchestration tools, or AI-powered application platforms.
• Knowledge of service-mesh, observability tooling, and policy-as-code.
• Familiarity with event-driven systems (Kafka, NATS) and domain-driven design.
• Exposure to safety, ethics, and compliance considerations in AI systems.

• Remote-first with optional hub meet-ups; hardware & co-working stipend.
• Flexible core hours (overlap 9 a.m. 3 p.m. ET).
• Comprehensive health, dental, and vision coverage in Canada & the U.S.
• Generous vacation, paid learning days, and annual budget for conferences or AI tooling subscriptions.

Software International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and mid-sized organizations in Canada/US. We are currently hiring for a Senior Software Developer Agentic AI Application Development  for our global IT M&A client in the Toronto area.

Role:   Senior Software Developer Agentic AI Application Development

Type: Fulltime, Perm

Salary Range: $100,000 - $130,000 as base depending on overall experience + bonus + vacation + benefits + other great company perks such as AI tooling and AI conference budget.  

Location: Remote - Mississauga, ON, Canada

Remote within the United States or Canada (workday overlap from Pacific to Eastern time zones)

We are seeking a Senior Software Developer to help pioneer the next generation of agentic applications software systems that leverage autonomous agents, large language models, and adaptive workflows to augment and accelerate human decision-making. In this role, youll design, build, and scale intelligent services and applications that seamlessly blend traditional engineering practices with cutting-edge AI-driven automation.

Youll work in a small, high-impact team that values experimentation, rapid iteration, and quality engineering. This is a chance to shape how agentic applications are built, deployed, and adopted in real-world environments.

• Architect, build, and maintain applications that integrate autonomous agents and LLMs into end-to-end workflows.
• Design APIs, services, and event-driven components that allow agents to interact with systems, data, and users effectively.
• Ensure applications are resilient, secure, and adaptable in production environments.

• Pilot and integrate agent frameworks, orchestration layers, and multi-agent systems.
• Automate repetitive tasks including code generation, testing, monitoring, and documentation.
• Continuously evaluate and incorporate emerging AI tooling.

• Define and codify best practices for designing, deploying, and monitoring agentic workflows.
• Coach peers on prompt engineering, guardrails, and safe deployment of autonomous agents.
• Establish patterns for observability, safety, and human-in-the-loop validation.

• Set high standards for design, code quality, and testing.
• Conduct architecture reviews and mentor other developers in building AI-powered systems.
• Stay current with research and industry trends in autonomous agents and applied LLMs.

• Deliver high-quality applications with strong reliability, security, and performance.
• Optimize for scalability and cost efficiency in cloud-native environments.
• Own the lifecycle from prototyping to production deployment.

• 5+ years of experience building and shipping production software systems.
• Strong background in designing APIs, distributed systems, and event-driven architectures.
• Proficiency in at least one statically typed language (Go, Java, C#) and one scripting language (Python, TypeScript, Bash).
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes).
• Demonstrated use of AI/LLM tooling in professional or side projects.
• Curiosity and creativity in exploring agentic workflows and autonomous development approaches.
• Strong communication skills and ability to collaborate across remote-first teams.

• Experience with multi-agent frameworks, orchestration tools, or AI-powered application platforms.
• Knowledge of service-mesh, observability tooling, and policy-as-code.
• Familiarity with event-driven systems (Kafka, NATS) and domain-driven design.
• Exposure to safety, ethics, and compliance considerations in AI systems.

• Remote-first with optional hub meet-ups; hardware & co-working stipend.
• Flexible core hours (overlap 9 a.m. 3 p.m. ET).
• Comprehensive health, dental, and vision coverage in Canada & the U.S.
• Generous vacation, paid learning days, and annual budget for conferences or AI tooling subscriptions.

“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