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Added 14 mins ago
Senior Software Engineer, Growth
Mural
Canada
Full-time
As a Senior Software Engineer on the Growth & Engagement team, you'll build the products, platforms, and experimentation capabilities that help customers discover value faster and achieve…
Added 14 mins ago
Senior Baggage Handling System Engineer
AtkinsRéalis
Toronto, ON
Full-time
AtkinsRéalis is seeking a Senior Baggage Handling System (BHS) Engineer for its Western Region. In this role, you will act as the Client's Representative in the execution of large-scale…
Added 14 mins 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 14 mins ago
Tableau Administrator
Collabera
Toronto, ON
$80 to $90 USD / hour
Contract
The BI Platform Operations Engineer will provide production support across Tableau, AWS QuickSight, and the organization's custom BI-as-a-Service platform. They will administer and…
Added 14 mins ago
Data Engineer – Ab Initio
Siri InfoSolutions, Inc.
Mississauga, ON
$110,000 to $125,000 CAD / year
Contract
Reference Data development and Data Analytics
Added 14 mins ago
Senior Software Engineer: Mobile & Full Stack
Ethereal Music Group
Vancouver, BC · Greater Vancouver Metropolitan Area
$125,000 to $160,000 CAD / year
Full-time
We’re looking for a Senior Software Engineer - Mobile & Full Stack who can take a problem from an initial requirement through technical design, implementation, release, and production…
Added 14 mins ago
Computer Vision Engineer
HomeTeam Network
Canada
Full-time
Sports video experience: broadcast automation, player or ball tracking, sports analytics
Added 14 mins ago
Data Science Lead
Alberta Innovates
AB · Edmonton, AB
Full-time
Certifications in cloud or AI/ML platforms (e.g., Microsoft Azure AI Engineer Associate, Azure Data Scientist Associate, Databricks) considered an asset.
Added 27 mins ago
Senior Software Developer
Plusgrade
Montreal, QC
Full-time
…Labs group on new concepts. As part of this work, you help re-engineer software delivery so that AI systems and workflows are integrated directly into our operating model and…
Added 27 mins ago
Senior Electrical and I/C Engineer
Tetra Tech
Pickering, ON
Full-time
…world. We combine consulting and engineering with advanced analytics and technology to solve the world’s most complex challenges. Our innovation hubs across the globe will enable you to…
Added 27 mins ago
Junior Electrical Engineer
Tetra Tech
Pickering, ON
Full-time
…world. We combine consulting and engineering with advanced analytics and technology to solve the world’s most complex challenges. Our innovation hubs across the globe will enable you to…
Added 27 mins ago
Senior Full Stack Java Engineer
PRI Global
Toronto, ON
Contract
Added 27 mins ago
Intermediate Instrumentation and Controls Engineer
Tetra Tech
Pickering, ON
Full-time
…world. We combine consulting and engineering with advanced analytics and technology to solve the world’s most complex challenges. Our innovation hubs across the globe will enable you to…
Added 27 mins ago
Intermediate Electrical Engineer – Heavy Industrial/Nuclear
Tetra Tech
Mississauga, ON
Full-time
…world. We combine consulting and engineering with advanced analytics and technology to solve the world’s most complex challenges. Our innovation hubs across the globe will enable you to…
Added 29 mins ago
Intermediate Civil Structural Engineer
Tetra Tech
Vancouver, BC
Full-time
Tetra Tech is adding an Intermediate Civil/Structural Engineer to our Civil/Structural team based in Vancouver, BC .
Added 29 mins ago
Machine Learning Engineer
Sobeys
Toronto, ON
Full-time
We are seeking a highly capable Machine Learning Engineer with deep expertise in building Lang graph based agentic systems, Object-Oriented Python, and ML Ops. In this role, you will…
Added 30 mins ago
Global Integrated Marketing Program Manager
Armstrong Fluid Technology
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Full-time
…brightest and most creative minds, driven by a shared mission to engineer the future and safeguard our…
Added 45 mins ago
Forward Deployed AI Engineer
Burjline Builders
Toronto, ON
Full-time
We’re looking for a AI Deployment Engineer with 3–6 years of experience to work closely with portfolio businesses, understand their operational challenges, and build production-grade AI and…
Added 58 mins ago
Service Manager
LanceSoft, Inc.
Montreal, QC · Greater Montreal Metropolitan Area
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The candidate does not need to be an AI engineer or data scientist; (experience in these areas is a plus). However, they should be curious about emerging technologies and comfortable using…
Added 58 mins ago
Senior AI Engineer – Claims Summarization & Agentic AI
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Toronto, ON
Full-time
We are seeking a highly skilled and hands-on Senior AI Engineer to design, develop, and deploy Agentic AI solutions for insurance claims processing. The ideal candidate will build…
Added 58 mins ago
Senior Data Engineer - Toronto
Trisura
Toronto, ON
Full-time
We are currently seeking a driven and collaborative Senior Data Engineer to join our forward-thinking Data and Analytics team.
Added 58 mins ago
Data Engineer
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Mississauga, ON
Full-time
Added 58 mins ago
Architecte de solution IA
CGI
Montreal, QC
Full-time
AI/ML certification on a cloud platform (e.g.: Azure AI Engineer, AWS ML Specialty, GCP Professional ML Engineer).
Added 58 mins ago
Senior Software Engineer - Gameplay & Experience
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Vancouver, BC
Full-time
As a Senior Software Engineer, you will collaborate with product leaders, gameplay designers, engineers, and researchers to bring ideas to life. You will develop and architect new gameplay…
Added 58 mins ago
Application Engineer
Flexkube Lab Inc.
Toronto, ON · Greater Toronto Area, Canada
Contract
We are seeking an experienced Application Engineer to design, develop, and support integration services, APIs, and automation capabilities that enable AI-powered business solutions. The…

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

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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.

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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

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