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Modeling And Simulation Jobs in Edmonton, AB (NOW HIRING)

Develop and iterate on AI/ML components -- including LLM-based agents, embedding models, and behavioral simulation layers -- that power synthetic persona generation * Architect and maintain the data ...

You will: Create and update 3D models, detailed drawings and design documentation. Support reverse engineering, product improvements and new concept design. Complete analysis, simulation and ...

You will: · Create and update 3D models, detailed drawings and design documentation. · Support reverse engineering, product improvements and new concept design. · Complete analysis, simulation and ...

Knowledge of modeling and simulation of optical systems. * Experience analyzing, tolerancing, and designing optical systems using CODEV (or Zemax). Advanced modelling skills integrating macros and ...

Knowledge of modeling and simulation of optical systems. * Experience analyzing, tolerancing, and designing optical systems using CODEV (or Zemax). Advanced modelling skills integrating macros and ...

Competitive compensation, hybrid work model, and comprehensive benefits * Global Impact: Be part of ... Experience in Visual, AGI or DIALUX for lighting simulations is preferred Soft Skills * Strong ...

Provide architectural guidance for secure network connectivity and access models, including ... simulations and tabletop exercises. * Analyze vulnerability intelligence and security findings ...

Data analysis experience - ability to utilize a variety of software tools (databases, spreadsheets, flowcharts etc.) to perform forecasting, modeling, analysis, simulations, and flow chart functions.

Modeling And Simulation information

What jobs use simulation training?

Modeling and Simulation jobs are common in fields such as aerospace, defense, healthcare, and manufacturing, where professionals use simulation software and tools to train, test, or analyze systems. These roles often require skills in programming, data analysis, and understanding complex systems, with certifications in simulation software or related fields enhancing employability.

How to get into 3D modeling as a career?

To pursue a career in 3D modeling, develop skills in software such as Blender, Maya, or 3ds Max through online courses or formal education. Building a strong portfolio showcasing your work and gaining experience through internships or freelance projects are essential steps to enter the field.

What is the difference between Modeling And Simulation vs Data Analyst?

AspectModeling And SimulationData Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; often certifications in simulation softwareBachelor's in statistics, mathematics, or related fields; certifications in data analysis tools
Work EnvironmentResearch labs, engineering firms, government agenciesBusiness, finance, healthcare, or tech companies
Industry UsageEngineering, defense, aerospace, manufacturingFinance, marketing, healthcare, technology
Common Search & ComparisonModeling And Simulation vs Data Analyst

While both roles involve data and technical skills, Modeling And Simulation focuses on creating models to predict and analyze systems, often in engineering or scientific contexts. Data Analysts interpret data to inform business decisions. The roles share skills but differ in application and industry focus.

What are the key skills and qualifications needed to thrive as a Modeling and Simulation Specialist, and why are they important?

To thrive as a Modeling and Simulation Specialist, you need strong analytical abilities, proficiency in mathematics, and a background in computer science or engineering, often supported by a relevant degree. Expertise with simulation software (such as MATLAB, Simulink, or Arena), programming languages (like Python or C++), and knowledge of modeling standards is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate models, effective simulations, and actionable insights that drive decision-making in complex systems.

What are some common challenges faced by professionals in Modeling and Simulation roles, and how can they be addressed?

Professionals in Modeling and Simulation often encounter challenges such as integrating complex data from multiple sources, ensuring model accuracy, and communicating technical results to non-technical stakeholders. Addressing these challenges typically involves close collaboration with subject matter experts, ongoing model validation and verification, and using clear visualizations to explain insights. Building strong interdisciplinary communication skills and staying current with evolving simulation tools can also help professionals effectively navigate these challenges.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, aerospace, or petroleum engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High-level roles typically require extensive experience, advanced skills, and sometimes leadership or managerial responsibilities.

Are simulation engineers in demand?

Simulation engineers are in high demand across industries such as aerospace, defense, automotive, and healthcare due to their expertise in modeling complex systems and using tools like MATLAB and Simulink. The growing reliance on digital twins, virtual testing, and advanced modeling techniques has increased employment opportunities for these professionals.

What are modeling and simulation jobs?

Modeling and simulation jobs involve creating digital or mathematical models to represent real-world systems, processes, or phenomena, and then using simulations to analyze their behavior under various scenarios. Professionals in this field use specialized software and computational techniques to predict outcomes, optimize designs, and inform decision-making in industries like engineering, defense, healthcare, and manufacturing. These roles often require strong analytical skills, proficiency in programming, and a background in mathematics or science. Modeling and simulation experts help organizations save time and resources by testing ideas virtually before applying them in real life.
What job categories do people searching Modeling And Simulation jobs in Edmonton, AB look for? The top searched job categories for Modeling And Simulation jobs in Edmonton, AB are:
What cities near Edmonton, AB are hiring for Modeling And Simulation jobs? Cities near Edmonton, AB with the most Modeling And Simulation job openings:
Infographic showing various Modeling And Simulation job openings in Edmonton, AB as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 96% In-person, and 4% Remote job distribution.
AI and Data Engineer

AI and Data Engineer

Blend360

Edmonton, AB • On-site

Full-time

Re-posted 4 days ago


Job description

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com 

Job Description

We are building a team of engineers in Edmonton, AB, Canada to develop a first-of-its-kind synthetic persona platform — an AI system that models human behavior, preferences, and decision-making at scale. This role sits at the intersection of software engineering, data engineering and applied AI: you will design the pipelines that power the personas and , the models and the platform deployments that bring them to life.

This is not a maintenance role. The platform is being built from the ground up, and every technical decision you make will shape what it becomes. You will work alongside researchers, data scientists, and product engineers in a small, high-trust team where curiosity and ownership are the norm.

What You Will Do

  • Design and build a scalable platform and the data pipelines that ingest, transform, and serve structured and unstructured data to AI models
  • Develop and iterate on AI/ML components — including LLM-based agents, embedding models, and behavioral simulation layers — that power synthetic persona generation
  • Architect and maintain the data infrastructure underpinning persona modeling: feature stores, vector databases, data lakes, and real-time serving layers
  • Collaborate with researchers to translate persona logic and behavioral frameworks into working system components
  • Write production-quality code, participate in code reviews, and contribute to engineering standards for the team
  • Monitor model and pipeline performance in production; identify and resolve issues proactively
  • Contribute to system design discussions and help shape the technical roadmap
Qualifications

Must be able to commute to our Edmonton, AB, Canada office

Core Technical Skills

  • 3–5 years of hands-on experience in software engineering, data engineering, ML engineering, or a closely related role
  • Proficiency in Python and at least one data processing framework (Spark, dbt, Airflow, Prefect, or similar)
  • Experience building and deploying ML models or AI components in a production environment
  • Familiarity with LLMs and modern AI tooling: prompt engineering, fine-tuning, RAG pipelines, orand agent frameworks (LangChain, LangGraph LlamaIndex, CrewAI, or equivalent)
  • Solid understanding of data modeling, schema design, and the tradeoffs between different storage paradigms (relational, document, vector, columnar)
  • Experience with cloud data infrastructure — AWS, GCP, or Azure — and comfort operating in a cloud-native environment

Systems & Engineering Mindset

  • Ability to reason about system architecture: latency, throughput, scalability, and data consistency tradeoffs
  • Experience with APIs, microservices, or event-driven architectures (Kafka, Pub/Sub, or similar)
  • Comfort working across the stack — from raw data ingestion through to model serving and API exposure
  • Strong debugging instincts and a habit of writing observable, testable code

How You Work

  • Intrinsically motivated — you pursue hard problems because they interest you, not because someone handed you a ticket
  • Comfortable with ambiguity; you can move forward when the requirements are still forming
  • Collaborative by default — you ask questions, share context early, and bring others along
  • You read papers, experiment on weekends, and have opinions about how AI systems should be built

Nice to Have

  • Experience with Snowflake
  • Experience with behavioral modeling, simulation, or agent-based systems
  • Background in NLP, computational social science, or user modeling
  • Contributions to open-source AI or data tooling
  • Familiarity with synthetic data generation techniques or privacy-preserving ML
  • Experience working in a startup or early-stage product environment

Additional Information

Synthetic personas are one of the most technically interesting and practically consequential challenges in applied AI right now. The platform you help build will be used to simulate human decision-making in ways that have real product and business impact. You will have direct influence over architectural decisions, meaningful ownership of your components, and a front-row seat to a research area that is evolving fast.

*Must be able to work on-site at our Edmonton, AB, Canada location