Find work in Canada.

331,838 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 2 hours ago
Founding Sales Engineer
Featherless AI
Remote, Canada
$150,000 to $190,000 USD / year
Full-time · Remote
We're hiring our first Sales Engineer to pair directly with our founding Account Executive in North America. You are the technical half of a two-person deal team: the AE owns the commercial…
Added 3 hours ago
Senior AI Engineer
The Citco Group Limited
Halifax, NS
Full-time
The AI Engineer remains accountable for technical correctness, human review of AI-generated output, meaningful tests, secure implementation and production readiness. AI-generated work never…
Added 4 hours ago
Senior Product Security Engineer
Jobgether
Canada
Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Security Engineer based in Canada
Added 4 hours ago
Senior Quality Process Development Engineer
Semtech
Burlington, ON
Full-time
The Senior Quality Process Development Engineer will collaborate on the design, development, and validation the statistical and machine-learning systems at the core of Semtech's quality…
Added 5 hours ago
Staff Verification Engineer, Compute Subsystems
Qualcomm
Markham, ON
Full-time
Are you a creative engineer looking for challenges?
Added 5 hours ago
Machine Learning Engineer, Frameworks & Performance (New Grad to Principal level)
Qualcomm
Markham, ON
Full-time
Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs
Added 5 hours ago
Senior Consultant - GCP Data & AI Architect
Deloitte
Toronto, ON
Full-time
Proficient in SQL and Python; comfortable with Terraform for infrastructure as code.
Added 5 hours ago
Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
Role: Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 7 hours ago
System Engineer
Vertage Global
ON · Ontario, Canada
Contract
Hiring: AI/ML Systems Engineer – Vehicle Diagnostics & Observability
Added 8 hours ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 8 hours ago
Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Apptoza Inc.
Toronto, ON
Contract
Role: Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 8 hours ago
AI Engineer
Tiger Analytics
Toronto, ON
Full-time
…partnerships with leading hyperscalers enable Tiger Analytics to engineer cutting-edge Data & AI solutions that move beyond standard playbooks. With a team of over 5000 technologists and…
Added 9 hours ago
System Engineer
Vertage
Ottawa, ON · Kanata, ON
Full-time
seeking a Systems Engineer to support its AI-powered End-to-End Software Diagnostics & Observability initiative for next-generation software-defined vehicles. This role will help define,…
Added 9 hours ago
Cloud Engineer
Vertage
Ottawa, ON · Kanata, ON
Contract
Seeking a Cloud Engineer with experience in cloud-native application development, API integration, and platform engineering. The role involves building and supporting Ford's Telemetry &…
Added 9 hours ago
Machine Learning Engineer Intern
Jobright.ai
Canada
Internship
…helps users reach better job outcomes. The Machine Learning Engineer Intern will develop and evaluate machine-learning features, support data pipelines and integrations, investigate model…
Added 9 hours ago
Senior Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
Senior Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 10 hours ago
Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Apptoza Inc.
Toronto, ON
Contract
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization. You'll own the complete observability…
Added 10 hours ago
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
Full-time
We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This…
Added 11 hours ago
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
Full-time
We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This…
Added 11 hours ago
Sr. Data Scientist
Charger Logistics Inc.
Brampton, ON
Full-time
Strong experience in Python, including libraries such as Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, XGBoost, and LightGBM.
Added 12 hours ago
Cloud Engineer
Morson Edge (Canada)
Oakville, ON
$95,000 to $135,000 CAD / year
Full-time
Morson Edge is seeking an experienced Cloud Engineer to join a growing infrastructure team. This role is ideal for a cloud professional with strong Microsoft Azure expertise who is…
Added 14 hours ago
Senior DevOps Engineer
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
Full-time
Boeing Vancouver is seeking a Senior DevOps Engineer, reporting to the Manager of Defence & Government Services working out of the Richmond, BC office.
Added 14 hours ago
Machine Learning Engineer Intern
Jobright.ai
Canada
Internship
…helps users reach better job outcomes. The Machine Learning Engineer Intern will develop and evaluate machine-learning features, support data pipelines and integrations, investigate model…
Added 16 hours ago
Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB
Full-time
Cvent is seeking a Senior Database Engineer with deep Snowflake expertise to help design, manage,
Added 21 hours ago
Staff AI Engineer (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
Design, develop, and maintain sophisticated NLP and Generative AI applications in Python; architect scalable agentic AI systems, RAG pipelines, and LLM integrations leveraging vector…

Waabi

Senior / Staff ML Ops Engineer

Toronto, ON, Canada

Pay: $184,000 to $272,000 USD / year
Job type: Full-time
Posting language: English
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will..

Build and evolve our training infrastructure on Kubernetes with Infrastructure - GPU scheduling, autoscaling, multi-node distributed jobs, capacity strategy, and the operators and workflow engines that keep long-running training reliable.
Shape the developer-facing surface - CLIs, SDKs, job submission, templates, paved paths - designed with the teams who'll use them. Make the common case one command and keep the uncommon case possible.
Shorten the inner loop. Time to first training run, edit-to-signal latency, local iteration before a job hits the cluster, fast failure over slow mystery. Measure it, publish it, drive it down.
Evangelize best-in-class tooling and frameworks. Track what the ecosystem is shipping, evaluate honestly, and make the case with working prototypes and migration paths - or say plainly when a shiny thing isn't worth the switching cost.
Strengthen the data and artifact layer. Dataset versioning, sharding, and high-throughput loading of large multimodal sensor data, so jobs saturate GPUs instead of waiting on I/O.
Turn one-off Python into durable tooling - tested, documented, observable libraries, CLIs, and services with sane defaults, and deletions where they're overdue.
Make experiments legible, with the teams who live in them: experiment hygiene, dashboards researchers trust, a real model registry, and lineage from dataset to checkpoint to simulation result.
Ship CI/CD for models alongside autonomy and simulation, so a model change is validated the same way a code change is.
Build observability across the ML stack - utilization, throughput, failure modes, queue times, cost per experiment. When a job fails at 3am on node 47, the researcher should find out why without you.
Treat docs, onboarding, and support as product surface - golden-path guides, a new researcher productive on day two, office hours that turn repeat questions into shipped fixes.
Drive adoption, not just availability. Prototype with real users, watch them work, iterate. A tool nobody adopts didn't ship.
Make the platform boringly reliable - fewer failures, faster recovery, and none of the manual steps that quietly cost a team days.
Build guardrails that don't feel like walls, with Security, IT, and Infrastructure: access controls, data handling, and cost governance that hold up in an IP-sensitive environment while staying self-serve.

Qualifications:

5+ years of software or infrastructure engineering, including tools or platforms used by other engineers and operating ML or data-intensive production systems.
Hands-on Kubernetes expertise - GPU scheduling, autoscaling, Helm or equivalent, networking fundamentals, and the ability to debug a cluster under load rather than restart it.
Excellent Python, and a track record of designing APIs and CLIs other people enjoy using.
Practical AWS depth: object storage at scale, IAM, GPU compute, networking, cost management, and infrastructure as code (Terraform, Pulumi, or similar).
Distributed training in PyTorch (DDP, FSDP, or similar), plus experiment tracking and model registry tooling - from the perspective of someone who made them pleasant for others to use.
Fluency with containers, CI/CD, and modern build systems, including large monorepos.
The ability to influence without authority: evaluate a framework on its merits, pilot it credibly, and persuade skeptical senior engineers to change how they work.
A collaborative default - you'd rather co-own a system than draw a boundary around your part of it.
User empathy: you'd rather fix the third-most-interesting problem blocking ten people than the most interesting one blocking nobody.
Strong product instincts, strong writing, and comfort operating autonomously in ambiguous territory.
Passionate about self-driving technologies and frontier AI, and about what a small, world-class team can do with the right infrastructure.

Bonus/nice to have:

Internal developer platform, research platform, or DevEx work - with a story about a tool whose adoption you grew from zero.
Large-scale distributed GPU training: hundreds to thousands of accelerators, NCCL, high-performance cluster networking, collective communication tuning.
High-throughput loading of LiDAR or camera data, and formats such as Parquet or WebDataset.
Workflow and scheduling systems - Argo Workflows, Ray, Flyte, Kubeflow, or Slurm.
Build-system depth (Bazel or similar), including remote caching in a monorepo.
Simulation infrastructure or large-scale batch evaluation pipelines.
Background in ML, robotics, or autonomous systems infrastructure.
Security- and IP-sensitive production environments.
Open-source contributions to ML infrastructure or developer tools.

\n\n

The US yearly salary range for this role is: $184,000 - $272,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:

Competitive compensation and equity awards.
Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
Unlimited Vacation.
Flexible hours and Work from Home support.
Daily drinks, snacks and catered meals (when in office).
Regularly scheduled team building activities and social events both on-site, off-site & virtually.
As we grow, this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

Apply About employer

More about this job

Responsibilities

Build and operate reliable Kubernetes-based ML training infrastructure, including GPU scheduling, distributed jobs, data and artifact systems, CI/CD, and observability. Develop and improve researcher-facing tools and workflows, drive adoption through user collaboration, and ensure the platform is secure, cost-effective, and easy to use.

Requirements

Requires 5+ years of software or infrastructure engineering experience, hands-on Kubernetes expertise, strong Python skills, and practical AWS experience. Candidates should have experience with distributed PyTorch training, developer-facing APIs and tools, containers, CI/CD, and the ability to influence teams and work collaboratively in ambiguous environments.

Skills

Kubernetes
GPU Scheduling
Python
AWS
Distributed Training
PyTorch
Terraform
Infrastructure as Code
CI/CD
Helm
Experiment Tracking
Model Registry
Developer Platforms
Distributed Systems
Data Engineering
Observability

Benefits

Competitive Compensation
Equity Awards
Medical Insurance
Dental Insurance
Vision Insurance
Unlimited Vacation
Flexible Hours
Work From Home Support
Drinks, Snacks, and Catered Meals
Team-Building Activities and Social Events

Visa sponsorship

Not detected in the job text

Keywords

Kubernetes
GPU Scheduling
Autoscaling
Distributed Training
PyTorch
DDP
FSDP
AWS
Object Storage
IAM
Terraform
Pulumi
Python
Helm
CI/CD
Containers
Experiment Tracking
Model Registry
Dataset Versioning
Multimodal Sensor Data
Argo Workflows
Ray
Flyte
Kubeflow
Slurm
Bazel
NCCL
LiDAR
Parquet
WebDataset

Report this job