Top Research Jobs in Calgary

The research engineer will focus on solving the structure from motion problem, contributing to 3D reconstruction in various industries using AI.

The role focuses on refining Luma's foundation models for better controllability and personalization while collaborating across research, product, and design teams.

Seeking a Research Scientist/Engineer to design and optimize distributed training systems for large-scale multimodal AI models using thousands of GPUs.

The Research Engineer will design scalable evaluation systems for multimodal generative AI models, integrating metrics and automated pipelines for model assessment and improvement.

The role focuses on optimizing AI models for efficiency, involving GPU/CPU code profiling, high-performance programming, and developing performance tools.

The Research Scientist/Engineer will innovate algorithms for real-time adaptation, optimize ML systems, and ensure impactful product interactions.

The Research Scientist will develop models for natural hazards, evaluate scientific literature, clean data, and implement projects using Python and GIS tools.

Execute synthesis, place-and-route and STA for ASIC partitions from RTL to silicon. Collaborate with architects, RTL designers and DFT engineers to close EM/IR, LEC and physical verification signoff. Improve physical design methodologies (synthesis, PnR, EMIR, PDN), troubleshoot flows and work with EDA vendors to resolve issues while meeting tight schedules and low-power goals.

Manage Service Desk and endpoint services, lead support staff, ensure SLA-driven incident resolution, drive automation and continual improvement, enforce compliance (GxP, FDA, ISO 27001), manage vendors, and support infrastructure and security projects to improve user experience and operational readiness.

Design, train, evaluate, and optimize agent-native LLMs and RAG pipelines for enterprise use. Build training and RL pipelines (RLHF/DPO/PPO), embedding-based memory, evaluation harnesses, observability, and inference optimization across cloud and on-prem environments.

S32 seeks Applied AI Research Scientists to explore new approaches, algorithms, and methodologies to advance AI systems across portfolio companies. Candidates will drive research, shape company direction, and collaborate with founders to apply research outcomes to product and business needs.

Seeking Applied AI Research Scientists to develop and explore new AI approaches, algorithms, and methodologies to drive AI systems across S32 portfolio companies and shape company direction.

Lead design and execution of a 3–5 year fundraising strategy; personally cultivate and close five- and six-figure major gifts; manage donor CRM, reporting, dashboards, and fundraising collateral; partner with CEO and Board for donor engagement; align projects to donor goals; mentor a small fundraising team; track performance against KPIs; travel for donor meetings and events.

As a Research Intern, you will prototype and productionize research in AI and cryptographic schemes, collaborating with teams for real-world impact.

Support and maintain GxP-compliant quality systems: plan and conduct internal audits, manage CAPAs and deviations, review NCs and quality indicators, support vendor qualification and RFIs, assist with inspection readiness and client audits, create training and quality documentation, and perform IP release with GMP background.

The Research Scientist will develop and enhance simulation agents using advanced machine learning techniques, mentor junior team members, and publish research findings.

As a Research Intern at N1, contribute to market/product or technical research in blockchain, developing analytical skills.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

The Senior Research Consultant will advise clients on market research, design studies, interpret results, and integrate AI into research processes.

Design, build, and own end-to-end 3D asset pipelines and tooling for a multi-sensor simulation stack. Architect formats, storage, validation, packaging, and serving for meshes, neural representations, and generative outputs. Create visualization and curation tools at scale, integrate neural rendering and generative research into production, and collaborate with autonomy and safety teams to meet realism and coverage requirements.

Conduct exhaustive literature and regulatory reviews, analyze quantitative and qualitative human factors data, design and administer surveys, support flight-simulator data collection, perform technical writing and editing, and compile findings into structured technical reports.

Build and scale core research infrastructure and agentic systems across backend, frontend, and model integrations. Own reliability, observability, and performance; ship research-proven features to production rapidly and develop shared tools and SDKs to accelerate Research, QA, and Engineering.

The role involves designing and implementing machine learning systems for knowledge representation and temporal reasoning, focusing on organizational intelligence. Responsibilities include building LLM-powered pipelines, developing memory algorithms, and researching various ML techniques.

Execute and troubleshoot mammalian cell culture and molecular biology workflows (cloning, nucleic acid prep, RNA assays). Produce and deploy viral vectors (lentiviral, AAV), perform CRISPR genome editing and perturbation screens, develop cell-based assays and phenotypic readouts, support mouse studies and tissue processing, maintain ELN documentation and SOPs, and generate high-quality data for target identification and therapeutic validation.

The Statistical Programmer develops, maintains, and validates datasets and reports for clinical trials, ensuring high-quality deliverables while adhering to industry standards and guidelines.