AI Jobs in Canada

Find top AI jobs in Canada across machine learning, generative AI, and data roles. All opportunities are curated and updated hourly from companies hiring nationwide.

Check out 316 new AI opportunities posted on The Homebase

Senior AI Product Manager

New
Top rated
Opusclip
Full-time
Full-time
Posted

The Senior AI Product Manager at OpusClip is responsible for bridging the gap between complex AI research and seamless user experiences by transforming raw model capabilities and complex workflows into polished products that serve millions of creators. They act as the final filter for aesthetic quality, ensuring every feature meets high standards for rhythm, composition, and visual harmony. They lead rapid prototyping by building functional proofs-of-concept, working directly with APIs and codebase to validate hypotheses before full-scale engineering. Additionally, they identify latent creator needs and competitive gaps to prioritize bold and high-impact product bets over incremental iterations, architecting the future of digital storytelling through multimodal AI.

CA$170,000 – CA$200,000
Undisclosed
YEAR

(CAD)

Burnaby, Canada
Maybe global
Onsite

AI Solution Architect - Montreal

New
Top rated
Mistral AI
Full-time
Full-time
Posted

The AI Solution Architect is responsible for driving the adoption and deployment of Mistral’s AI solutions by working closely with customers from strategic vision to production implementation. This includes leading executive-level workshops to identify business challenges and opportunities, co-creating AI adoption roadmaps, collaborating with Account Executives on business cases, architecting end-to-end AI solutions integrating Mistral's models and platform into customer workflows and technical infrastructure, partnering with the Applied AI team to design, prototype, and deploy AI solutions in production, executing pilot projects and proofs-of-value, serving as a trusted advisor to customers to guide their AI strategy and maximize investment value, monitoring KPIs tied to business outcomes and communicating progress to executive sponsors, proactively identifying expansion opportunities within accounts, acting as a bridge between customers and Mistral’s internal teams to influence product and research roadmaps, developing reusable assets, best practices, and playbooks to scale go-to-market efforts, and traveling approximately 30-60% to foster client relationships and support on-site deployment.

Undisclosed

()

Montreal, Canada
Maybe global
Onsite

Software Engineer, Data & Retrieval

New
Top rated
BenchSci
Full-time
Full-time
Posted

The Software Engineer is responsible for utilizing the Agent Development Kit (ADK) to design, develop, and deploy autonomous agents and "skills" capable of multi-step data retrieval tasks. They design and develop backend systems and APIs to expose bioinformatics data and implement advanced search and retrieval mechanisms to provide LLMs with up-to-date grounded information. Their duties include tuning storage technologies, creating high-performance query plans, designing solutions, and adapting existing approaches to solve issues within web app architecture and interfaces. They operationalize production-grade data pipelines using processing engines like Apache Beam, collaborate with other engineers to address document extraction, enrichment, and retrieval challenges, and model scientific experiments from unstructured data. The engineer also troubleshoots and resolves production issues promptly, ensures code is testable, self-documenting, and reliable, communicates decisions to impacted teams, works on client-facing projects with large pharmaceutical companies, and balances independent work with collaborative efforts for complex architectural changes.

$100,000 – $140,000
Undisclosed
YEAR

(USD)

Toronto, Canada
Maybe global
Hybrid

Freelance Electrical Engineer with Python Experience - AI Trainer

New
Top rated
Mindrift
Part-time
Full-time
Posted

Contributors may design rigorous electrical engineering problems reflecting professional practice, evaluate AI solutions for correctness, assumptions, and constraints, validate calculations or simulations using Python (NumPy, Pandas, SciPy), improve AI reasoning to align with industry-standard logic, and apply structured scoring criteria to multi-step problems.

$38 / hour
Undisclosed
HOUR

(USD)

Canada
Maybe global
Remote

Julia MTK Modeling Engineer

New
Top rated
P-1 AI
Full-time
Full-time
Posted

Build physics simulators that teach Archie how the real world works by developing first-principles, acausal models of thermofluid and electrical systems to generate large-scale synthetic datasets that power Archie’s reasoning about physical systems. Work on chillers, air handlers, cooling towers, hydronic networks, switchboards, transformers, and distribution systems, sweeping models across thousands of operating conditions, fault modes, and design variants. Ensure the fidelity of simulations directly determines the capabilities of the AI. Collaborate closely with ML engineers to ensure simulation outputs translate into real-world performance.

$150,000 – $200,000
Undisclosed
YEAR

(USD)

San Francisco, United States or Canada
Maybe global
Remote

Software QA Engineer - AI

New
Top rated
P-1 AI
Full-time
Full-time
Posted

This role owns the testing and evaluation systems that determine whether Archie is becoming a better engineer. Responsibilities include designing, implementing, and operating evaluation systems that benchmark Archie against real-world engineering skill expectations, ensuring the system is learning the right things, and preventing regressions as it evolves. The role involves working closely with AI researchers, software engineers, domain experts, and industrial partners to translate engineering judgment into scalable, automated evaluation frameworks, shaping how progress toward engineering AGI is measured.

$200,000 – $250,000
Undisclosed
YEAR

(USD)

San Francisco, United States or Canada
Maybe global
Hybrid

AI Evals Technical Lead

New
Top rated
P-1 AI
Full-time
Full-time
Posted

In this role, you will be responsible for implementing the system for organizing, transforming, running, grading, and reporting on eval benchmarks. You will design and execute the process for developing and quality assuring evals, incorporating contributions from the engineering team, industrial partners, and subject-matter experts. You must ensure that evals run effectively within the CI/CD system, continuously benchmarking the evolving AI platform and experiments conducted. Additionally, you will create methods for detecting and testing common quality challenges of AI such as hallucinations, undesirable stochasticity, and regressions. You will also serve as a technical leader in the consistent implementation and organization of automated tests across other areas of the technology stacks. This involves clear definition, implementation, and validation of evals, as well as translating these tests into multiple formats for use with different AI and non-AI systems and agents.

$200,000 – $250,000
Undisclosed
YEAR

(USD)

San Francisco, United States or Canada
Maybe global
Hybrid

AI Engineer

New
Top rated
Opusclip
Full-time
Full-time
Posted

Design and build scalable, low-latency AI inference microservices for high-volume video processing. Collaborate with the team to build production pipelines for Video Understanding and LLMs, ensuring the model's throughput, cost-efficiency, and integration into the core backend. Ensure all code, whether written or AI-generated, is modular, type-safe, thoroughly tested, and maintainable. Profile and optimize Python/C++ code and model inference layers using methods like quantization, batching, and caching to reduce GPU costs and user wait time. Conduct research on cutting-edge LLMs/multimodal models and rapidly refactor experimental code into stable, production-ready features.

$115,000 – $270,000
Undisclosed
YEAR

(USD)

Burnaby, Canada
Maybe global
Onsite

Staff Software Engineer, GPU Infrastructure (HPC)

New
Top rated
Cohere
Full-time
Full-time
Posted

As a Staff Software Engineer, you will build and scale ML-optimized HPC infrastructure by deploying and managing Kubernetes-based GPU/TPU superclusters across multiple clouds ensuring high throughput and low-latency performance for AI workloads. You will optimize for AI/ML training by collaborating with cloud providers to fine-tune infrastructure for cost efficiency, reliability, and performance, using technologies like RDMA, NCCL, and high-speed interconnects. You will troubleshoot and resolve complex issues by identifying and resolving infrastructure bottlenecks, performance degradation, and system failures to minimize disruption to AI/ML workflows. You will enable researchers with self-service tools by designing intuitive interfaces and workflows that allow researchers to monitor, debug, and optimize their training jobs independently. You will drive innovation in ML infrastructure by working closely with AI researchers to understand emerging needs such as JAX, PyTorch, and distributed training and translating them into robust, scalable infrastructure solutions. You will champion best practices by advocating for observability, automation, and infrastructure-as-code (IaC) across the organization to ensure systems are maintainable and resilient. Additionally, you will provide mentorship and collaborate through code reviews, documentation, and cross-team efforts to foster a culture of knowledge transfer and engineering excellence.

Undisclosed

()

Canada
Maybe global
Remote

Intern of Technical Staff - Sovereign AI

New
Top rated
Cohere
Full-time
Full-time
Posted

As a Sovereign AI Intern, you will design, train and improve upon cutting-edge models to serve public interest, help develop new techniques to train and serve models safer, better, and faster, train extremely large-scale models on massive datasets, learn from experienced senior machine learning technical staff, and work closely with product teams to develop solutions.

Undisclosed

()

Toronto, Canada
Maybe global
Remote

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Frequently Asked Questions

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[{"question":"What types of AI jobs are available in Canada?","answer":"Canada's AI job market features diverse roles across several industries. Data Scientists represent 20% of all AI job postings, making them the most sought-after professionals. Software Developers and Engineers collectively account for 25% of opportunities, while Database Analysts and Computer Engineers make up another 20%. Emerging positions like AI Analysts, ML Engineers, and DevOps Engineers are growing rapidly. These roles are concentrated in professional services (30% of postings), financial services, manufacturing, publishing, and healthcare. With AI hiring surging 33% in 2025, the Canadian market continues to evolve with provincial funding supporting deep-tech innovation."},{"question":"Are there remote AI jobs available in Canada?","answer":"Yes, remote AI jobs exist in Canada's growing tech market, though specific data on remote versus on-site proportions isn't available in the research. Canada's position as an AI leader with over 140,000 AI professionals suggests flexibility in work arrangements across provinces. Remote opportunities likely span industries driving AI adoption, including professional services, finance, manufacturing, and healthcare. The post-pandemic shift toward flexible work models has influenced the tech sector particularly. When searching for remote AI positions, focus on job boards that allow filtering by remote status and companies known for distributed teams, especially for roles like ML Engineers and Data Scientists."},{"question":"What skills are most in demand for AI jobs in Canada?","answer":"Canadian employers are actively seeking professionals with expertise in AI and machine learning fundamentals, offering premium wages for these skills. Cybersecurity knowledge is highly valued as organizations balance innovation with data protection. Strong data analytics capabilities remain essential across AI roles. Cloud architecture experience, particularly with major platforms supporting ML operations, gives candidates a significant edge. Software development skills, especially in Python and related frameworks, form the foundation for most AI positions. Beyond technical abilities, employers seek professionals who can bridge the gap between technical implementation and business applications, explaining complex concepts to stakeholders from various departments as AI adoption expands across industries."},{"question":"What is the salary range for AI jobs in Canada?","answer":"While specific salary figures aren't provided in the research data, several factors influence compensation for AI professionals in Canada. Industry sector significantly impacts earnings, with financial services and tech companies typically offering higher compensation than public sector roles. Specialization affects pay scales - data scientists and ML engineers with specialized skills command premium wages. Experience level creates substantial differences, with the research showing experienced professionals (30+ years) seeing stronger employment growth than entry-level candidates. Geographic location matters too, with Toronto and Montreal tech hubs offering different compensation structures. Companies are investing more in AI talent, reflecting the critical importance of these roles to their competitive advantage."},{"question":"What experience levels are companies hiring for in AI jobs in Canada?","answer":"Recent data reveals a significant experience gap in Canada's AI hiring landscape. Mid-career and senior professionals (30+ years) are seeing robust employment growth of 6-13%, while entry-level positions for 22-25 year-olds have declined by 6% since late 2022. This trend is particularly pronounced in software development, where early-career roles have dropped 20% below their late 2022 peak. Companies appear to be prioritizing experienced AI talent who can deliver immediate results without extensive training. This bifurcation suggests newcomers should focus on specialized certifications and practical project experience to overcome the entry barrier, while experienced professionals enjoy a favorable market position."},{"question":"How often are new AI jobs posted in Canada?","answer":"While exact posting frequency data isn't provided in the research, AI job postings in Canada follow identifiable patterns. The market peaked in Q4 2021 before experiencing a slowdown from Q1 2022 onward. However, with AI hiring surging 33% in 2025 compared to the previous year, the pace has accelerated again. AI positions remain relatively niche, representing less than 1% of total online job postings across Canada. Provincial funding programs supporting deep-tech innovation are driving new openings. The concentration of AI roles in specific sectors (professional services, finance, manufacturing) means job seekers should monitor industry-specific patterns rather than relying on general posting trends."},{"question":"What is the difference between The Homebase and other job boards?","answer":"The research doesn't provide specific information about The Homebase compared to other job boards. When evaluating AI job boards, consider several factors: specialization in AI and machine learning positions versus general tech listings; quality of curated opportunities in Canada's growing AI market; filtering capabilities for remote work options; connections to Canada's provincial funding initiatives for AI development; representation across key industries (professional services, finance, manufacturing); and resources for navigating the experience-level divide affecting entry-level versus senior AI professionals. Job boards specifically designed for AI roles often provide more detailed skill matching and industry-specific insights than general employment platforms."}]