Jobs in Canada

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Added 9 days ago
A
Senior Software Engineer, Analytics and Reporting Solutions ⭐
Achievers
Toronto, ON
- Full-time
…work gets done. Our tech stack leverages microservices built with Python and Go, running on GCP and Kubernetes. We're creating smoother, smarter, and more delightful experiences for our…
Added 9 days ago
D
AWS AI Solution Architect
DEDICATTED
Canada
- Full-time
Experience with Python and modern AI application development frameworks.
Added 9 days ago
A(
Machine Learning Resident - Client: ModeDi (12 month term)
Amii (Alberta Machine Intelligence Institute)
AB · Edmonton, AB
- Full-time
This is a paid Residency that will be undertaken over a twelve-month period with the potential to be hired by our client, ModeDi, afterwards (note: at the discretion of the client). The…
Added 9 days ago
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Technical Lead Manager, ML Dataset Platform
Waabi
Toronto, ON
- $200,000 to $280,000 USD / year
- Full-time
Strong software engineering and implementation: You have very strong Python skills and are comfortable in PyTorch training loops; you have strong software-engineering fundamentals and…
Added 9 days ago
AI Engineer – Market Surveillance
Capco
Toronto, ON
Hands-on AI or software engineering experience, with practical skills in Python, SQL and machine learning or LLM-based technologies.
Added 9 days ago
RT
Machine Learning Engineer
Russell Tobin
Toronto, ON
- Contract
Strong Python and machine-learning engineering skills with demonstrated experience taking models from experimentation into reliable production environments. Tech stack: Python, SQL, Power…
Added 9 days ago
AI
Business Intelligence Analyst
Apotex Inc.
Toronto, ON · North York, ON
- $83,958 to $139,930 CAD / year
- Full-time
…medicines and health products for millions of people worldwide, with a broad portfolio of generic, biosimilar, innovative branded pharmaceuticals and consumer health products. Headquartered…
Added 9 days ago
TB
Forward Deployed AI Engineer
Type B Digital
Calgary, AB
- Full-time
Strong Python. You should be comfortable with SQL and with building APIs and services (FastAPI or similar).
Added 9 days ago
BC
AI Engineer
BDO Canada
Toronto, ON
- $77,000 to $117,000 CAD / year
- Full-time
Expert‑level proficiency in Python, with working familiarity in Java and/or TypeScript for enterprise application development.
Added 9 days ago
E
RAN System Verification Professional
Ericsson
Ottawa, ON
- Full-time
Work with measurements such as throughput, latency, network load, and user experience
Added 9 days ago
D
Software Engineer Internship - Winter 2027
DataVisor
Remote, Canada
- $40,000 to $50,000 CAD / year
- Full-time
- Remote
…delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely…
Added 9 days ago
T
Senior AI Developer / Generative AI Engineer
ThoughtStorm
Toronto, ON
- Contract
Strong hands-on expertise in Python and SQL, with experience in software engineering and developing production-ready AI applications and enterprise solutions.
Added 9 days ago
Data Engineer - Snowflake, dbtCore/Cloud, AWS
Aviva
Markham, ON
3+ years of experience with coding in multiple programming languages such as Python, Java, etc.
Added 9 days ago
E
Applied Researcher
eBay
Toronto, ON
- Full-time
Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Expertise in machine learning frameworks (e.g. PyTorch/Huggingface/Ray/vLLM) and experience with big…
Added 10 days ago
G
[Disney Dreamlight Valley PC/Console] Analyste de données sénior - Senior Data Analyst
Gameloft
Montreal, QC
- Full-time
Filled with quests, exploration, and engaging activities featuring iconic Disney and Pixar characters, Disney Dreamlight Valley is an original Gameloft Montreal production created by a…
Added 10 days ago
H
Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Duration: 12 Months contract with possibility of extension
Added 10 days ago
ZS
DevOps Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Must Have Skills:
Added 10 days ago
CT
Senior Applied AI Scientist, Advanced Analytics & Modelling - Customer Intelligence
Canadian Tire Corporation
Toronto, ON
- Full-time
Location: Toronto, Ontario (Hybrid: In-office 4 days per week)
Added 10 days ago
CT
Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms
Canadian Tire Corporation
Toronto, ON
- Full-time
Location: Toronto, Ontario (Hybrid: In-office 4 days per week)
Added 10 days ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Welcome to the Jungle
Montreal, QC
…analysts, and digital experts to solve complex business challenges with pragmatic, production-ready…
Added 10 days ago
Senior AI Platform Engineer
Scotiabank
Toronto, ON
Advanced programming skills in Python, Java, Scala, Go, or a similar language, with a strong record of producing clean, testable, maintainable, and secure code.
Added 10 days ago
B
Data Platform Engineer
BRP
Montreal, QC
- Full-time
Work closely with business, AI/ML and operations teams to identify opportunities for further platform development and refinement.
Added 10 days ago
Q
Forward Deployed Engineer
Quadric
Canada
- Full-time
Quadric is redefining edge AI with the industry's first General Purpose Neural Processing Unit (GPNPU), enabling developers to run both neural network inference and conventional C++ code on…
Added 10 days ago
E
Braze Lead Developer
EXL
ON · Ontario, Canada
- Full-time
We are seeking a hands-on Braze Lead Developer to build, integrate, and scale Braze solutions for enterprise clients. You will lead a team of developers while remaining deeply hands-on:…
Added 10 days ago
Senior Application Developer (Computer Services Officer 4)
The Government of Nova Scotia
Halifax, NS
This role is ideal for a highly skilled software professional with strong expertise in Java, Python, JavaScript, API development, integration technologies, and cloud-ready application…

Waabi

Technical Lead Manager, ML Dataset Platform

Toronto, ON, Canada

$200,000 to $280,000 USD / year · Full-time

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Applications open in a new tab.

Job details

Pay: $200,000 to $280,000 USD / year
Job type: Full-time
Posting language: English
Posted: Nov 5, 2026

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

As TLM of the ML Datasets Platform, you will play a critical role defining the APIs, tooling, and storage formats that make datasets a shared, first-class asset at Waabi: versioned, efficiently updatable, fully traceable, and fast to load across GPU workloads. The technical challenge is to find the right abstractions so that every ML team can integrate with the platform for its model development use case without being forced into a one-size-fits-all mold, and without building its own data infrastructure on the side. You will do this as a hands-on technical leader who also grows and manages the team, sets its roadmap, and partners closely with the ML Training Platform team and the ML development teams who are the platform's customers.

You will…

Lead and grow the ML Dataset Platform team as both its technical lead and people manager: set the technical direction, define the roadmap, hire, and mentor engineers.
Define the APIs, tools and storage formats for Waabi's ML datasets, balancing maximal reuse of data and tooling against the specific needs of each training workload.
Build the tooling to manage datasets at scale, including versioning and efficient incremental updates without full rebuilds.
Design the APIs that let teams express training-time transformations along the continuum between fully reproducible ahead-of-time ETL and dynamic transformation within data loaders.
Own the common dataloading tools used across workloads, including observability into bottlenecks and the throughput of training jobs.
Streamline data access for multi-cloud training so that datasets are available as needed with predictable cost and latency.
Make data lineage a first-class, fully automatic property of every dataset, from raw data through to the model trained on them.
Partner with the ML Training Platform team on the boundary between data and training infrastructure, and with the ML development teams on transitioning shared-dataset tooling into the new platform.
Drive adoption: work directly with model teams to migrate their training data onto the platform and feed what you learn back into your team’s roadmap.

Qualifications:

Deep ML dataset experience: You have designed and built large-scale data infrastructure for ML training (storage formats, dataset versioning, ETL, dataloading) and understand the performance characteristics of petabyte-scale sensor or multimodal data.
Strong software engineering and implementation: You have very strong Python skills and are comfortable in PyTorch training loops; you have strong software-engineering fundamentals and experience with distributed systems, cloud storage, and data processing frameworks (e.g., Spark, Ray, Beam).
Proven technical leadership: You have led a platform or infrastructure effort used by multiple teams, defined its APIs, and driven adoption across an organization.
People leadership: You have managed or tech-led a team of engineers, including hiring and mentoring, and can balance hands-on technical contribution with roadmap ownership and stakeholder management.
Team player: You communicate clearly with researchers and engineers, build consensus across teams with different needs, and deliver in a fast-paced environment.

Bonus:

Experience with ML data infrastructure in autonomous driving or robotics (multi-sensor logs, LiDAR, camera, HD maps).
Experience with columnar and tensor storage formats (e.g., Parquet, Lance, WebDataset, Zarr) and dataset versioning tools.
Experience with multi-cloud or hybrid training environments and the data-movement challenges that come with them.
Experience with data lineage, metadata catalogs, or feature-store systems.

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The US yearly salary range for this role is: $200,000 - $280,000 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. 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

Lead and grow the ML Dataset Platform team by defining technical roadmaps, APIs, and storage formats for large-scale machine learning datasets. Partner with cross-functional teams to ensure efficient data loading, versioning, and lineage across multi-cloud training environments.

Requirements

Requires deep experience in building large-scale ML data infrastructure and strong software engineering fundamentals in Python and distributed systems. Proven technical leadership and people management experience are essential for driving adoption and mentoring the engineering team.

Skills

Machine learning
Data infrastructure
Python
PyTorch
Distributed systems
Cloud storage
Spark
Ray
Beam
Technical leadership
People management
Data engineering
API design
Data lineage
Autonomous driving
Sensor data

Benefits

Competitive compensation
Equity awards
Medical coverage
Dental coverage
Vision coverage
Unlimited vacation
Flexible hours
Work from home support
Daily drinks and snacks
Catered meals
Team building activities

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Dataset Platform
Physical AI
Autonomous Trucks
Robotaxis
API Design
Data Infrastructure
Python
PyTorch
Distributed Systems
Cloud Storage
Spark
Ray
Beam
ETL
Data Lineage
Multi-cloud
LiDAR
Camera
HD Maps
Parquet
Lance
WebDataset
Zarr
Technical Leadership
People Management
Data Processing
Sensor Data
Multimodal Data
Training Pipelines

Seniority

Manager

Perks

Generous paid time off
Flexible hours
Performance bonus
Stock or equity
Wellness program
Meals

Tools

PyTorch
Spark
Ray
Beam
Parquet
Lance
WebDataset
Zarr

Languages

English

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Work requirements

Jobs in Canada