Jobs in Calgary, AB and nearby (26,791 jobs)

Jobs within 25 km of Calgary, AB, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

26,791 listings · 4,990 employers Counted Nov 14, 2026. How we count

About these jobs

Employers hiring include Alberta Health Services (769 listings), Loblaw Companies Limited (544 listings), Shoppers Drug Mart (397 listings).

Common roles: Retail sales associate, Cook, Project manager.

4,339 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	26.00	2,998
CAD / year	83,000.00	1,193
CAD / month	4,117.00	31
CAD / day	120.50	16
CAD / week	1,500.00	15

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 13% hybrid, 83% on-site, 4% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

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Jobs in Calgary, AB and nearby

Within 25 km

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Precision AI

Artificial Intelligence Scientist

Calgary, AB, Canada

Hybrid

Full-time

Apply on jobs.gem.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Hybrid
Experience: 4+ years of experience in AI/ML model design, training, and deployment in production environments.
Posting language: English
Posted: Apr 17, 2026

Original job description

About Precision AI

Precision AI is on a mission to transform agriculture with cutting-edge drone technology. Our aerial spraying systems help farmers target weeds with surgical precision, reducing chemical use and increasing yields. We’re a fast-moving, impact-driven team looking for people who want to help build the future of farming.

Role Overview

The Artificial Intelligence Scientist at Precision AI will drive innovation at the intersection of advanced AI research and agricultural applications. This role is responsible for conceiving, researching, and translating novel AI approaches into practical solutions that address complex challenges in agriculture.

The AI Scientist will lead the scientific direction of AI initiatives by designing and overseeing research-driven AI projects and developing and advancing state-of-the-art machine learning models. This role emphasizes problem discovery and ideation, developing novel solutions, and driving research from concept through deployment in collaboration with internal and external partners.

Working closely with AI leadership, engineers, agronomy experts, and strategic partners, the AI Scientist will shape both the long-term technical vision and the day-to-day execution of Precision AI’s AI-powered agricultural solutions.

This hybrid role is based in Calgary and will work from Precision AI’s headquarters 3 days a week.

Key Responsibilities

Research & Innovation

Lead applied AI research to develop novel approaches for agricultural challenges such as crop monitoring, yield forecasting, and sustainability.
Explore and prototype emerging AI paradigms, including reasoning-enhanced LLMs (e.g., chain-of-thought, self-reflection, tool use), recursive or iterative modeling, reinforcement learning and RLHF-style training, and self-supervised or foundation models.
Translate research ideas into validated prototypes and production-ready methods.

Advanced Model Development

Design and evaluate state-of-the-art models across computer vision, NLP, time-series, and multimodal learning (e.g., satellite/drone imagery, sensor data, text).
Apply modern techniques such as representation learning, domain adaptation, few-shot learning, multimodal fusion, spatiotemporal modeling, and efficient fine-tuning.
Advance model robustness, generalization, and efficiency under real-world agricultural constraints.

Agricultural Intelligence Integration

Integrate domain knowledge from agronomy, climate, and geospatial data into model design and evaluation.
Develop methods that handle noisy, sparse, seasonal, and region-dependent data, common in agricultural systems.

Scientific Leadership & Mentorship

Set standards for scientific experimentation, and reproducibility across AI research efforts.
Mentor engineers and scientists on research methodology, model design, and experimental analysis.

Collaboration & Knowledge Sharing

Collaborate with cross-functional teams and external research partners to align research outcomes with real-world impact.
Communicate research findings clearly through technical reports, presentations, and internal knowledge sharing.

Relevant Experience

Required

4+ years of experience in AI/ML model design, training, and deployment in production environments.
Proven expertise in building and optimizing models, including LLMs, VLMs, computer vision, and multimodal architecture.
Experience with modern learning paradigms such as transfer learning, self-supervised learning, domain generalization, and few-shot or representation learning.
Experience with emerging and novel techniques, including retrieval-augmented generation (RAG), diffusion models, reasoning-enhanced LLMs (e.g., chain-of-thought, self-reflection), and reinforcement learning–based training or optimization.
Strong programming skills in Python with solid knowledge of data structures, algorithms, and software engineering best practices.
Hands-on experience with large-scale data sets, data lake architectures and distributed data processing
Fluency in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and MLOps practices (CI/CD, experiment tracking, reproducibility).
Strong technical communication skills, with the ability to document research, present results, and collaborate effectively across technical and non-technical teams.
Proven ability to stay current with AI research, critically evaluate new methods, and apply them to complex real-world problems.

Academic Requirements

PhD or master's in computer science, computer engineering, statistics, or mathematics
Strong publication record in reputable conferences or journals in AI, machine learning, computer vision, NLP, or related areas

Not Sure You Meet Every Requirement?

Research shows that some candidates, especially women, underrepresented groups, and career changers, are less likely to apply for a role unless they meet 100% of the listed qualifications. At Precision AI, we believe the right person can grow into the role, and we value potential as much as experience. If you’re excited about our mission and think you could contribute, we encourage you to apply, even if you don’t check every single box.

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other status protected by law.

Apply on jobs.gem.com About employer

More about this job

Responsibilities

The AI Scientist at Precision AI will lead research into new AI methods for farming, build and evaluate advanced models on drone, satellite and sensor data, and take promising ideas from prototype to production. The role also sets research standards and mentors engineers.

Requirements

Candidates need 4+ years of AI/ML experience deploying models in production, strong Python and ML framework skills, and a master's or PhD in a quantitative field with a solid publication record. Strong written and oral communication for technical and non-technical audiences is also required.

Skills

Python
PyTorch
TensorFlow
Hugging Face
MLOps
CI/CD
experiment tracking
large language models
vision-language models
computer vision
natural language processing
multimodal learning
time-series modeling
transfer learning
self-supervised learning
domain generalization
few-shot learning
retrieval-augmented generation
diffusion models
reinforcement learning
RLHF
distributed data processing
data lake architecture
research methodology
scientific writing

Keywords

Artificial Intelligence
machine learning
AI scientist
computer vision
large language models
LLM
multimodal learning
reinforcement learning
RLHF
self-supervised learning
foundation models
PyTorch
TensorFlow
Hugging Face
Python
MLOps
precision agriculture
agtech
drone
time-series

Seniority

Senior

Tools

PyTorch
TensorFlow
Hugging Face
Python

Languages

English

Fields of study

computer science
computer engineering
statistics
mathematics

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Jobs in Calgary, AB and nearby