Jobs in Canada

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Added 4 months ago
A
Marketing Growth Strategy & Analytics (Bangkok-based, relocation provided)
Agoda
Toronto, Ontario
- Full-time
Familiarity with statistical analysis, forecasting, machine learning, or hypothesis-testing frameworks.
Added 5 months ago
GA
Applied AI Engineer
GC AI
Canada
- Full-time
Shape our technical strategy and roadmap alongside senior leadership.
Added 5 months ago
AT
ead Full Stack Developer (C# / .NET Core / Azure)
Aarorn Technologies Inc
Toronto, Ontario
- Contract
Must have development experience in Azure Integration Services
Added 2 months ago
Director, Fraud Data and Analytics
Scotiabank
Toronto, ON
…capabilities that support real-time decisioning, advanced analytics, machine learning, regulatory reporting, and operational…
Added 2 months ago
Senior AI Engineer - Tangerine
Scotiabank
Toronto, ON
Hands on experience with Machine Learning, Generative AI, Agentic AI, RAG pipelines, and feature stores.
Added 5 months ago
WS
Senior Millwright
Wolf Steel Ltd
Barrie, Ontario
- Full-time
Execute major overhauls, machine changeover, calibrations, and alignments, taking accountability for equipment performance
Added 5 months ago
R
Platform Engineer, Machine Learning
RAVL
Toronto, Ontario
- Full-time
We’re hiring Senior ML Platform Engineers (Contract) to contribute to building and scaling machine learning platforms across a range of client engagements. This work includes developing ML…
Added 4 months ago
D
Senior Benchmarking Researcher [551]
D-Wave
Burnaby, BC
- $140,000 to $170,000 CAD / year
Strong foundation in algorithm development with experience in machine learning, Monte Carlo methods, and/or statistical physics
Added 3 months ago
WT
Manager Software Development, Observability Platform
Wealthsimple Technologies
Remote, Canada
- Full-time
- Remote
…This is detection framed as a data question, not a wall of machine-state…
Added 6 months ago
K
Senior Algorithm Developer – Production Scheduling (Saas Supply Chain Platform)
Kinaxis
Canada
- Full-time
As a Senior Algorithm Developer, you will contribute across the full lifecycle of algorithm backed product development, working at the intersection of real-world scheduling problems and…
Added 5 months ago
AL
Forward Deployed AI Engineer
Arkanis Labs
Remote, Canada
- $120,000 to $200,000 CAD / year
- Full-time
- Remote
Neither founder came up the standard way. Both started in the hard sciences and taught themselves computer science and machine learning from there. They worked with the first generation of…
Added 3 months ago
U
Senior AI Data Developer
Ubisoft
Montreal, QC
- Full-time
Good understanding of Machine Learning and Generative AI.
Added 2 months ago
Actuarial Consultant - Research & Development
Wawanesa Insurance
Toronto, ON · Winnipeg, MB · Wawanesa, MB · Moncton, NB · Ottawa, ON · Kitchener, ON · Montreal, QC · Vancouver, BC · Lloydminster, AB · Dartmouth, NS · Edmonton, AB · Calgary, AB · Lethbridge, AB · North York - Toronto, ON (Hybr, ON
Experience with machine learning modelling or other pricing modelling methods and software.
Added 3 months ago
C
Senior Product Designer, Insights and Reporting
Clio
Toronto, ON · Vancouver, BC · Calgary, AB
- Full-time
Experience designing AI-powered features or workflows, with a strong understanding of user-centered applications of machine learning and generative AI.
Added 2 months ago
M
Senior AI Full Stack Developer (Healthcare - SaaS)
Medfar
Montreal, QC
- Full-time
Candidates must reside in the province of Quebec
Added 2 months ago
F
Senior Software Engineer - Design Systems - Frontend
Faire
Toronto, ON
- Full-time
Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting
Added 2 months ago
F
Senior Software Engineer - Design Systems - Frontend
Faire
Kitchener, ON
- Full-time
Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting
Added 2 months ago
O
Senior Design Operations Program Manager - Agentic Design
Okta
Toronto, ON
- $118,000 to $162,000 CAD / year
- Full-time
…research, and product development happen. We are looking for a Senior Design Operations Program Manager, Agentic Design to lead the operationalization and enablement of internal AI agents,…
Added 5 months ago
L
Vision / Robotics Engineer
Loombotic
Toronto, ON
- Full-time
Loombotic is automating the wire harness, the hand-built nervous system inside every robot, vehicle, and machine. It is one of the last big manufacturing processes still done almost…
Added 6 months ago
M
Manager, Software Engineering - Identity Platform
Marqeta
Remote, Canada
- Full-time
- Remote
Experienced engineering leader (8–10+ years in engineering, 3+ years managing senior and staff engineers).
Added 3 months ago
AG
VP, Product & Engineering
Adelphi Group
Toronto, ON
- Full-time
Own Perpetua's AI strategy across its different forms from the machine-learning systems that already optimize and execute campaign decisions autonomously to the generative and agentic layer…
Added 3 months ago
U
Senior AI Data Developer
Ubisoft
Montreal, QC
- Full-time
Good understanding of Machine Learning and Generative AI.
Added 5 months ago
QA
Senior Data Engineer I - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, Ontario
- Full-time
You will own and deliver technical workstreams, designing machine learning, agentic, and autonomous AI systems. You'll lead the integration of machine learning, Generative AI capabilities…
Added 3 months ago
AL
Senior Machine Learning Scientist (CA)
Altis Labs
Toronto, ON
- $175,000 to $300,000 CAD / year
- Full-time
7+ years of experience in machine learning, with substantial work in computer vision or medical imaging
Added 3 months ago
RC
Senior Quality Assurance Software Developer – Analytics
Ribbon Communications
Montreal, QC
- Full-time
Ribbon Communications is looking for a quality assurance software developer to assist in the test coverage of features on Ribbon Analytics. Ribbon Analytics is a big data Network Analytics…

Arkanis Labs

Forward Deployed AI Engineer

Remote, Canada

Remote

$120,000 to $200,000 CAD / year · Full-time

Apply on wellfound.com About employer

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Job details

Pay: $120,000 to $200,000 CAD / year
Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Experience: Experience: 3+ years
Posting language: English
Posted: Jun 10, 2026

Original job description

Forward Deployed AI Engineer Intermediate · Full-time Location: Kitchener-Waterloo, ON (in-office up to 3 days/week) Experience: 3+ years Eligibility: Authorized to work in Canada About Arkanis We're a production AI systems shop. Growth-stage companies bring us in when they have a real engineering problem and not enough senior bandwidth to solve it well: data infrastructure that's buckling, an LLM feature that breaks the moment real users touch it, a matching engine that needs to actually work. We embed with their teams, ship the system, and harden it for the long haul. Our work spans LLM agents, data pipelines, and applied ML across a rotating set of clients. Who You'll Work With Neither founder came up the standard way. Both started in the hard sciences and taught themselves computer science and machine learning from there. They worked with the first generation of transformer models, shipped some of the earliest commercial LLM applications running inside Fortune 500 companies, led engineering teams at unicorn AI startups, and put research into production at world-class labs including Microsoft Research and DARPA. None of it came with an Ivy League stamp or a FAANG badge. We earned it by shipping, and that's the only resume line we actually read, and the only thing we test for. No leetcode theater in our interviews, just real systems and whether you can build and reason about them. The Role Forward deployed means you're embedded. You'll sit inside a client's team as the engineer who takes an ambiguous business problem and turns it into a working, maintainable production system. You'll move between engagements as projects ship, so you'll see more codebases, stacks, and founding teams in a year than most engineers see in five. You're also the technical face of Arkanis in those rooms, which means the quality of your work and your judgment both matter. This role is based in Kitchener-Waterloo. You'll work from our Kitchener office up to three days a week, with the rest remote, plus time on client sites during active engagements. We're around to pair on hard problems and back you up however you need it. This is a role we expect to grow someone into: with strong fundamentals and real curiosity about applied AI, we'll teach you the production ML and agent engineering on the job, with senior ICs to learn from. What You'll Work On No one person does all of this. Think of it as the range our engagements pull from, the kind of work you'll get to lean into and grow across over time: Setting up the testing backbone that turns 'move fast and break things' into 'move fast and keep them working.' Building the testing and CI that let us ship AI features fast and sleep at night. Designing thoughtful evals and benchmarks, model guardrails, experiment design, observability, and A/B tests, so we actually know whether a feature is working. Prompt tuning and shaping model behavior until the results are reliable. Improving stability and performance across the stack for our clients. Bringing product sense and UI/UX instincts to how a feature feels to use and whether it solves the real problem in front of the user. Turning a fuzzy business problem into a scoped plan you can ship against, and being honest with founders about what's possible, what isn't, and what's worth doing now versus later. Documenting and handing off cleanly, so the client's team can own the system after you rotate to the next engagement. Who You Are We're looking for builders with staying power. The people who thrive here have gone deep on something hard by their own drive, stuck with it long past the point most people quit, and come out with real command of their craft. Where you learned it and how long it took matters far less to us than the fact that you did, and that you'd keep building whether or not anyone was paying you. 3+ years shipping software. You've built things real people used, debugged them in production, and lived with the consequences of your own design decisions. Solid engineering fundamentals. You write code others can maintain, you're comfortable across the stack, you reach for version control, tests, and SQL without being told, and you can reason about a system you've never seen before. A working understanding of what LLMs can and can't do. You know when a problem wants a model and when it wants fifteen lines of deterministic code. You've felt the failure modes firsthand and you're hungry to go deeper on evals, guardrails and design. Opinions about your tools. You have a coding setup you've thought about and can defend, and you're the kind of person who tries the new thing and forms a real take on it. Strong communication. You can sit across from a non-technical founder and make the case for security and stability work in terms they care about, manage expectations honestly, and hold your own in a room with VCs and senior engineers. Comfort with ambiguity and client-facing work. Engagements rarely arrive as clean specs. You're energized by walking into a half-defined problem and a team you've just met. Nice to Have Working experience with our common stack: TypeScript and/or Python, Postgres, cloud platforms (AWS/GCP), vector databases. Exposure to regulated or compliance-heavy environments is a real plus: GDPR, PIPEDA, SOC 2, PCI-DSS, or hands-on PII handling. Several of our engagements touch sensitive data, and knowing how to build for it from the start is valuable. Any prior exposure to applied ML, computer vision, or LLM observability tooling. Startup or agency experience where you wore several hats at once. Why This Role You'll get embedded at well-funded growth-stage companies and earn real facetime with the founders, investors, and senior engineers running them. You'll be deliberately trained up in production ML and AI engineering rather than left to figure it out alone. And the variety is the point: you'll work across very different companies and problems, building range and depth far faster than any single team could give you.

Apply on wellfound.com About employer

More about this job

Responsibilities

You will be embedded within a client's team to transform ambiguous business problems into maintainable production systems. Your role involves moving between engagements, ensuring the quality of your work and judgment as the technical face of Arkanis.

Requirements

Candidates should have 3+ years of experience in shipping software and solid engineering fundamentals. A working understanding of LLMs and strong communication skills are also essential.

Skills

Software Development
Machine Learning
Data Infrastructure
Testing
Continuous Integration
Model Evaluation
Prompt Tuning
UI/UX Design
Communication
Problem Solving
Version Control
SQL
Cloud Platforms
Python
TypeScript
Postgres

Remote locations

Kitchener-Waterloo, Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

AI
Engineering
Data Pipelines
LLM
Testing
CI
Model Guardrails
Experiment Design
Observability
A/B Testing
Production Systems
Software Engineering
Cloud Platforms
Python
TypeScript
Postgres
Compliance
GDPR
PIPEDA
SOC 2
PCI-DSS
Applied ML
Computer Vision
Startup Experience
Vector Databases

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Work requirements

Jobs in Canada