Jobs in Canada

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Added 19 days ago
N
Marketing Engineer & Director of AEO
Notified
Toronto, ON
- Full-time
We are looking for a Marketing Engineer & Director of AEO to own how our brand is discovered, understood, cited, and recommended across search engines, answer engines, AI assistants, and…
Added 19 days ago
HB
Platform Engineer - Reliability - FinTech - $125,000-$225,000 CAD + Bonus
Hunter Bond
Montreal, QC
- $125,000 to $225,000 CAD / year
- Full-time
Skills: Linux, Chef, Puppet, Ansible, Kubernetes, Docker, CI/CD, Python
Added 19 days ago
NE
Machine Learning Engineer
Neatco Engineering Services Inc.
Waterloo, ON
- Contract
Title: Machine Learning / Computer Vision Engineer
Added 19 days ago
E
Principal Software Engineer
EngRadar
Kitamaat 2, BC
- Full-time
As a Principal Software Engineer on Conga’s B2B Platform Engineering, Core Services team, you’ll own the security, identity, and access management capabilities that every Conga B2B product…
Added 19 days ago
NE
Physical AI Engineer
Neatco Engineering Services Inc.
Waterloo, ON
- Contract
Title: Physical AI Engineer: Robotics and Simulation
Added 19 days ago
NE
Physical AI Engineer
Neatco Engineering Services Inc.
Waterloo, ON
- Contract
Title: Physical AI Engineer: Robotics and Simulation
Added 19 days ago
KG
Senior Data Center Network Engineer
K&K Global Talent Solutions INC.
Quebec, QC
- Full-time
Position: Senior Data Center Network Engineer
Added 20 days ago
E
Software Engineer, Fullstack
EngRadar
Toronto, ON
- Full-time
Deep experience in either Frontend (JavaScript, React/React Native) or Backend (Python), with demonstrated ability to work effectively across the stack
Added 20 days ago
AI
Senior Quality Assurance Engineer
AI Interviews
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for a Senior QA Engineer with strong experience in automation testing of mobile and web applications. The ideal candidate should have hands-on experience with Appium, mobile…
Added 20 days ago
A
Software Development Engineer (Chip Product Security)
AMD
Markham, ON
- $125,440 to $188,160 CAD / year
- Full-time
Extensive software development experience in Java, .Net, C++, Python, SQL, UNIX/Linux.
Added 20 days ago
AS
Lead Data Scientist
AgileGrid Solutions
Canada
- Full-time
…performance. You will also work closely with the Lead Applied AI Engineer, whose focus includes generative AI, LLMs and agentic systems. There are no direct reports initially, but the role…
Added 20 days ago
SM
RQ00813 – DevOps/Cloud Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Hours: 7.25 hours per day, 5 days per week · Public Sector Experience: Must Have
Added 20 days ago
A
Forward Deployed Engineer, Triage (Singapore)
AssemblyAI
Canada
- $115,000 to $135,000 USD / year
- Full-time
AssemblyAI is growing quickly, and we're hiring a Forward Deployed Engineer for our Triage team. You'll own a book of customer accounts up to $50K a year. You'll solve their technical…
Added 20 days ago
ST
Senior Data Engineer
Sensor Tower
Remote, Canada
- Full-time
- Remote
As Sensor Tower continues to grow as a global company, we are looking for a Senior Data Engineer to build amazing products together. We have a wonderful team of more than a hundred…
Added 20 days ago
SI
Software Engineer, Level 3, Backend
Snap Inc.
Toronto, ON
- Full-time
To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week
Added 20 days ago
AI
Senior QA
AI Interviews
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for a Senior QA Engineer with strong experience in automation testing of mobile and web applications. The ideal candidate should have hands-on experience with Appium, mobile…
Added 20 days ago
BR
Senior Cloud Engineer (AWS)
BITS Recruiting
Toronto, ON
- Contract
Schedule: 5 days per week
Added 20 days ago
SM
RQ00813 – DevOps/Cloud Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Hours: 7.25 hours per day, 5 days per week · Public Sector Experience: Must Have
Added 20 days ago
SM
RQ00813 – DevOps/Cloud Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Hours: 7.25 hours per day, 5 days per week · Public Sector Experience: Must Have
Added 20 days ago
SM
RQ00813 – DevOps/Cloud Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Hours: 7.25 hours per day, 5 days per week · Public Sector Experience: Must Have
Added 20 days ago
CO
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer - Capital One Travel Tech - Full-stack
Added 20 days ago
V
Security Engineer
Varicent
Toronto, ON
- Full-time
The Security Engineer is a fully qualified, career-level engineer who independently owns defined security workstreams across operations and engineering. You will own the day-to-day health…
Added 20 days ago
Security Engineer
Varicent
Toronto, ON
The Security Engineer is a fully qualified, career-level engineer who independently owns defined security workstreams across operations and engineering. You will own the day-to-day health…
Added 20 days ago
O
Cloud Network Architect
OnX
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Automation and Infrastructure as Code for networking: Terraform (modules/state), Ansible, and scripting (e.g., Python) with Git-based workflows and CI/CD pipelines for repeatable…
Added 20 days ago
G
Prompt Engineer
Genpact
Montreal, QC
- $75,000 to $100,000 CAD / year
- Full-time
Inviting applications for the role of Prompt Engineer in Montreal, QC

Neatco Engineering Services Inc.

Machine Learning Engineer

Waterloo, ON, Canada

Contract

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 23, 2026
Posting language: English
Posted: Oct 24, 2026

Original job description

Title: Machine Learning / Computer Vision Engineer

Location: Waterloo, ON (onsite, occasional hybrid days)

Type: Full-time or part-time, 6-month to 1-year contract

About Neatco

Neatco Engineering builds AI vision and robotics systems for manufacturing and recycling. Our IntelSight platform uses deep learning and industrial imaging to run real-time quality inspection on production lines across automotive, manufacturing and recycling.

The role

You'll develop and improve the deep learning models behind IntelSight, from research ideas to models running on real factory floors. You'll work with real manufacturing datasets, industrial cameras and 3D sensors, and NVIDIA GPU and edge hardware.

This role suits people who enjoy applied research. We especially welcome master's and PhD students, postdoctoral researchers, and people who recently completed a graduate degree.

What you'll do

Train, evaluate and optimize models for detection, instance and semantic segmentation, classification and anomaly detection.
Improve IntelSight's accuracy, latency and robustness in industrial conditions.
Explore continual, incremental and few-shot learning, so new defect types need minimal retraining.
Build preprocessing, augmentation, dataset and evaluation pipelines.
Deploy models on NVIDIA GPUs and edge devices with TensorRT and ONNX.
Work with 2D cameras, 3D laser profilers, depth sensors and multispectral data.
Document experiments and benchmarks clearly.

What you bring

Strong Python and PyTorch.
Hands-on experience building computer vision models, such as detection or segmentation.
Solid grasp of training, validation, overfitting and evaluation.
Comfortable with Linux, Git and GPU environments.
Degree, or current studies, in CS, engineering, mechatronics or a related field.

Nice to have

Detectron2, YOLO, U-Net or vision transformers.
Continual learning, domain adaptation, self-supervised learning or anomaly detection.
CUDA, TensorRT, ONNX Runtime or Jetson.
3D point clouds, depth maps or 16-bit industrial images.
Publications, a thesis or open-source work in computer vision.

Details

Full-time or part-time contract for 6 months to 1 year, with potential for an extension.
Compensation is discussed at the first interview.

How to apply

Apply here: https://tally.so/r/WJ9v8R. It takes about 10 minutes and asks for your resume as a PDF.

Our process is a screening call, then an onsite technical assessment, then a final conversation with our CEO and CTO.

Neatco uses AI to help screen and assess applications. Every hiring decision is made by people.

Accommodations are available on request at any stage of the process.

Apply on LinkedIn About employer

More about this job

Responsibilities

Train, evaluate, and optimize computer vision models for industrial inspection, improving accuracy, latency, and robustness while exploring continual, incremental, and few-shot learning. Build data and evaluation pipelines, deploy models to NVIDIA GPU and edge hardware, work with industrial imaging and 3D sensors, and document experiments and benchmarks.

Requirements

Applicants should have strong Python and PyTorch skills, hands-on experience building computer vision models, and a solid understanding of model training, validation, overfitting, and evaluation. A degree or current studies in computer science, engineering, mechatronics, or a related field is expected, along with comfort using Linux, Git, and GPU environments.

Skills

Python
PyTorch
Computer Vision
Deep Learning
Object Detection
Instance Segmentation
Semantic Segmentation
Image Classification
Anomaly Detection
Linux
Git
GPU Computing
Model Evaluation
Model Optimization
TensorRT
ONNX

Visa sponsorship

Not detected in the job text

Keywords

Python
PyTorch
Computer Vision
Deep Learning
IntelSight
Industrial Imaging
Manufacturing
Recycling
Robotics
Object Detection
Instance Segmentation
Semantic Segmentation
Classification
Anomaly Detection
Continual Learning
Incremental Learning
Few-Shot Learning
Data Augmentation
Dataset Pipelines
Evaluation Pipelines
NVIDIA GPUs
Edge Devices
TensorRT
ONNX
Detectron2
YOLO
U-Net
Vision Transformers
CUDA
Jetson

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Jobs in Canada