---
title: 'Artificial Intelligence Scientist at Precision AI'
canonical: 'https://feeny.ai/job/artificial-intelligence-scientist-precision-ai-calgary-nb9b27z69t4t'
type: 'job'
last_seen: '2026-09-13'
---

# Artificial Intelligence Scientist at Precision AI

- **Company:** Precision AI
- **Location:** Calgary, Canada
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-04-17
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.gem.com/precision-ai/am9icG9zdDpXttlRkOiw15306OYwE4e8

## Job description

## 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 role is hybrid working out of our Calgary office.

## 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

- 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

## About Precision AI

## Company Overview
- **One-liner**: Precision AI develops autonomous drone systems powered by artificial intelligence to enable plant-level precision spraying and crop protection for agriculture.
- **Entity Type**: Private (Funding Stage: Series A)
- **Headquarters**: Calgary, Alberta, Canada
- **Founded**: 2017
- **Founders**: Daniel McCann

## Core Business
- **Primary industry**: Agricultural Technology (AgTech), Drone Manufacturing, Artificial Intelligence
- **Target customers**: Small to large farms, farm machinery manufacturers (B2B)
- **Mission or purpose statement**: “To accelerate artificial intelligence based farming practices to create healthier, happier, and more profitable farms” [linkedin.com](https://linkedin.com/company/precision-ai)

## Products & Services
- **Stratus AirSprayer™**: The world’s first fully autonomous aerial sprayer with advanced AI, designed for broad-acre crop protection.
- **SOLV™ Intelligence**: AI-driven software platform that processes visual data from drones to identify individual weeds and enable surgical chemical application.
- **Drone Swarm System**: A fleet of AI-powered drones that work collaboratively to cover large fields with precision spraying.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric – Total Funding**: $21.5 million across 6 rounds (Pre-Seed, Grant, Seed, and two Series A rounds)
- **Notable Investors/Partners**: At One Ventures, BDC Capital (Business Development Bank of Canada), Sustainable Development Technology Canada, Protein Industries Canada, Cooperative Ventures, John Deere (2023 collaborator) [dealroom.co](https://app.dealroom.co/companies/precision_1)
- **Growth Signals**: Headcount grew 60.7% year-over-year (28 employees as of latest data); expanding presence across 5 countries (Canada, United States, Egypt, Chile, Portugal); won the ‘Innovation Award in Environmental Sustainability’ at Ag in Motion 2022

## Competitive Advantages
- **Patented AI**: Proprietary computer vision models that can distinguish individual weeds from crops in real-time, enabling chemical use reduction of up to 90%.
- **Full-stack autonomy**: Precision AI controls the entire stack — hardware (drones), software (AI/ML), and spraying mechanics — creating a vertically integrated moat.
- **First-mover in aerial precision agriculture**: Unlike ground-based sprayers, their aerial platform can operate in wet field conditions and cover terrain more quickly without crop damage.

## Strategic Focus
- Scaling deployment of the Stratus AirSprayer™ to commercial farms in North America.
- Deepening AI capabilities in multimodal models (LLMs, VLMs, vision transformers) to improve weed detection and crop health analysis.
- Expanding partnerships with major agricultural OEMs and farm machinery manufacturers.

## Why Work Here
- **Culture**: Fast-moving, impact-driven team focused on solving real-world environmental and food production challenges.
- **Location**: Onsite role based in Calgary (near Glenmore Trail), with a growing global team spanning Canada, the US, Egypt, Chile, and Portugal.
- **Engineering culture**: Research-driven environment that encourages experimentation with cutting-edge ML techniques (transfer learning, RAG, diffusion models) and staying current with academic papers.
- **Perks & growth**: Opportunity to work on AI models that go from experimentation to production in a hardware-software integrated product; small but rapidly scaling team (60%+ headcount growth YoY) offers high ownership and visibility.

## Sources
1. [linkedin.com](https://linkedin.com/company/precision-ai)
2. [jobs.gem.com](https://jobs.gem.com/precision-ai/am9icG9zdDrwQu4_YANLg9uerGNonPDJ)
3. [dealroom.co](https://app.dealroom.co/companies/precision_1)
4. [theorg.com](https://theorg.com/org/precision-ai)
5. [cbinsights.com](https://www.cbinsights.com/company/precision-ai)

## Other roles at Precision AI

- [VP of Operations](https://feeny.ai/job/vp-of-operations-precision-ai-calgary-4gmyc77r5fkf) — Calgary, Canada
- [Crew Chief (UAV)](https://feeny.ai/job/crew-chief-uav-precision-ai-calgary-56b6ca29ezgh) — Calgary, Canada
- [Artificial Intelligence Engineer](https://feeny.ai/job/artificial-intelligence-engineer-precision-ai-calgary-7pm3ctjayknf) — Calgary, Canada
- [UAV Flight Controls Engineer (ArduPilot)](https://feeny.ai/job/uav-flight-controls-engineer-ardupilot-precision-ai-calgary-6a70qpkn9e6j) — Calgary, Canada
- [UAV Operator (Flight Mission Planner)](https://feeny.ai/job/uav-operator-flight-mission-planner-precision-ai-calgary-hdvmafwg4tdt) — Calgary, Canada
- [Spontaneous Application - Calgary](https://feeny.ai/job/spontaneous-application-calgary-precision-ai-calgary-qzw1gxrcmc68) — Calgary, Canada