Senior AI Researcher

Jobgether · Canada

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Researcher based in Canada.

This is a highly applied research role focused on transforming cutting-edge AI advances into real-world systems that modernize civic and regulatory workflows. You will work on complex, unstructured data problems within a production environment, applying techniques across computer vision, large language models, multimodal learning, and agentic AI systems. The role combines deep research ownership with end-to-end delivery, requiring you to take ideas from initial exploration through to deployed, production-grade models. You will operate in a fast-moving, lean team where research is tightly connected to product impact and user outcomes. This is a hands-on position for someone who enjoys solving ambiguous, high-impact problems and directly shaping how AI is used in real operational settings. Your work will help improve speed, consistency, and accessibility in critical public-sector processes.

Accountabilities:

Lead applied AI research initiatives across computer vision, LLMs, multimodal learning, and agentic AI workflows for real-world permitting and compliance use cases.
Design, run, and evaluate end-to-end experiments, from problem framing to model validation and production deployment.
Translate ambiguous product and business needs into structured research questions, technical approaches, and executable development plans.
Develop, fine-tune, and optimize machine learning models, including architecture design, dataset preparation, training, and performance tuning.
Own the full lifecycle of AI systems from experimentation to production, including deployment, monitoring, and iterative improvement using MLOps practices.
Make pragmatic trade-offs between model accuracy, cost, latency, scalability, and interpretability in production environments.
Build and improve agentic AI systems and workflows that integrate LLMs and multimodal models into practical applications.
Analyze model performance and experimental outcomes to guide technical direction and prioritize high-impact research opportunities.
Stay current with advances in AI research and selectively integrate relevant innovations into production systems.
Collaborate with cross-functional stakeholders to communicate technical decisions, align priorities, and ensure research translates into measurable impact.

Requirements:

7–10+ years of experience in applied AI research with demonstrated success delivering production-grade ML systems.
Proven experience owning AI/ML projects end-to-end, including deployment, monitoring, and MLOps infrastructure (CI/CD, containerization, observability).
Strong background in deep learning model development, including training, fine-tuning, and architecture-level design decisions.
Hands-on expertise in computer vision techniques such as object detection, segmentation, feature extraction, and image processing.
Experience with LLMs, multimodal systems, diffusion models, or agentic AI workflows in production environments.
Strong programming skills in Python and proficiency with frameworks such as PyTorch, TensorFlow, or JAX.
Experience deploying and managing models on cloud platforms (AWS, GCP, or Azure).
Strong software engineering practices including Git, testing, modular design, and scalable system development.
Ability to operate independently in ambiguous environments and translate unclear requirements into structured technical plans.
Strong communication skills with the ability to explain complex research to both technical and non-technical stakeholders.
Strong analytical and experimental intuition, with the ability to make decisions under uncertainty using incomplete data.
Experience in civic tech, compliance, construction, or regulated domains is a plus.

Benefits:

Competitive compensation aligned with experience, estimated at $165,000–$205,000 CAD base salary.
Remote-first work environment with flexibility and autonomy.
Comprehensive benefits package supporting health and well-being (varies by employment type).
Paid time off and company-wide holidays, including an extended year-end break.
Opportunity to work on impactful AI systems improving public-sector and civic processes.
Access to cutting-edge AI problems spanning LLMs, computer vision, and multimodal systems.
Occasional in-person company or team gatherings (1–2 times per year in Canada/US).
Inclusive, mission-driven culture emphasizing ownership, growth mindset, and continuous learning.
Strong focus on responsible AI development and meaningful real-world impact.

Data & ML pay context

Based on 1,381 disclosed Data & ML salaries on RoleSuite, the role pays a median of $166K/year, with most offers between $128K and $209K (10th–90th percentile: $106K–$246K).

This posting lists $165K–$205K, above the $166K market median.

See the full Data & ML salary breakdown →

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Senior AI Researcher

Accountabilities:

Requirements:

Benefits:

Data & ML pay context

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