ottawa on computer vision engineer Jobs – 68 Openings This Week

Lead Machine Learning Engineer
Serve Robotics —Ottawa, ON
- $225,000–$260,000 a year
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Engineering
Digital Design Engineer Prime (FEC)
Ciena —Ottawa, ON
- $133,100–$212,500 a year
- Full-time
- Engineering
- C++
- Bachelor's
- Employee stock purchase plan
- Dental care
Senior Software Engineer (Python + Distributed systems)
Scribd, Inc. —Ottawa, ON
- $146,500–$228,000 a year
- Full-time
- Computer Science
- AWS
- Bachelor's
- Disability insurance
- Dental care
Digital Senior SerDes Design Engineer
Ciena —Ottawa, ON
- $109,000–$174,000 a year
- Full-time
- Engineering
- English
- Master's degree
- Employee stock purchase plan
- Dental care
Optical Components Product Engineer
Ciena —Ottawa, ON
- $91,800–$146,600 a year
- Full-time
- Bachelor's
- Travel
- In-person
- Employee stock purchase plan
- Dental care
Embedded Systems Developer Intern
Q-Block Computing —Ottawa, ON
- $18–$25 an hour
- Full-time
- Laboratory experience
- Analysis skills
- C++
- Dental care
- Vision care
Quick apply
Software Automation Engineer
Ranovus —Ottawa, ON
- Full-time
- Computer Science
- Engineering
- C++
Senior Hardware Qualification Test Engineer
Lockheed Martin Corporation —Ottawa, ON
- $95,000–$124,500 a year
- Full-time
- Engineering
- Master's degree
- Bachelor's
- Dental care
- Vision care
1d
Optical Components Test Engineer
Ciena —Ottawa, ON
- $94,100–$150,300 a year
- Full-time
- Computer Science
- Engineering
- Master's degree
- Employee stock purchase plan
- Dental care
Data Scientist II
Scribd, Inc. —Ottawa, ON
- $118,000–$123,000 a year
- Full-time
- Computer Science
- Master's degree
- SQL
- Disability insurance
- Dental care
Information & Sensor Fusion Engineer
Dominion Dynamics —Ottawa, ON
- Full-time
- Computer Science
- Engineering
- Master's degree
Applied AI Backend Sr. Software Developer - Ottawa, ON
Trend Micro —Ottawa, ON
- $105,000–$130,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- CAD
- Wellness program
- Disability insurance
5d
Digital Verification Engineer Prime (FEC)
Ciena —Ottawa, ON
- $133,100–$212,500 a year
- Full-time
- Engineering
- C++
- Bachelor's
- Employee stock purchase plan
- Dental care
Senior Analog Design Engineer
Ciena —Ottawa, ON
- $114,000–$182,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Employee stock purchase plan
- Dental care
Water Co-op Student - Fall 2026
Stantec —Ottawa, ON
- $23.37–$32.07 an hour
- Temporary
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Wellness program
- Employee stock purchase plan
13d
Geotechnical Engineer
Stantec —Ottawa, ON
- $78,900–$114,400 a year
- Temporary
- Bilingual
- Engineering
- Master's degree
- Wellness program
- Employee stock purchase plan
CAD Tools Specialist
Ciena —Ottawa, ON
- $87,300–$139,500 a year
- Full-time
- CAD
- Engineering
- Master's degree
- Employee stock purchase plan
- Dental care
Water Resources Engineer
Stantec —Ottawa, ON
- $78,900–$114,400 a year
- Temporary
- Microsoft Word
- AutoCAD
- Microsoft Excel
- Wellness program
- Employee stock purchase plan
Photonics New Product Introduction Engineer
Ciena —Ottawa, ON
- Full-time
- Computer science
- Computer Science
- Engineering
- Employee stock purchase plan
- Dental care
2d
Senior Economist - Model Development
Bank of Canada —Ottawa, ON
- $111,051–$130,649 a year
- Hybrid work
- Bilingual
- Doctoral degree
- English
- Disability insurance
- Relocation assistance
9h

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computer vision engineer jobs near ottawa on

Lead Machine Learning Engineer

Serve Robotics -
Ottawa, ON

Apply Now

Job details

Full-time
$225,000–$260,000 a year

Qualifications

Node.js
Doctoral degree
Computer Science
Engineering
Master's degree
Machine learning
Agile
Model training
Electrical Engineering
Robotics
Model evaluation
Python

Full job description

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

This role develops and scales large-scale machine learning training systems for multimodal robotics data, enabling the creation of high-performance autonomy models. By optimizing distributed training pipelines, neural network architectures, and data processing workflows, the position improves training efficiency, accelerates model iteration, and maximizes GPU utilization. The role collaborates closely with ML researchers and infrastructure teams, influencing the design, deployment, and performance of end-to-end autonomy models and the large-scale data pipelines that support them.

Responsibilities

Design and maintain training systems that can process and learn from petabyte-scale multimodal datasets (e.g., video and point cloud data). This includes ensuring data is efficiently loaded, distributed, and processed across large GPU clusters.
Identify and resolve bottlenecks in the training pipeline, including data loading, preprocessing, model computation, and inter-node communication, to maximize GPU utilization and reduce training time.
Work with the ML team to develop and refine neural network architectures suitable for autonomy tasks, particularly those handling high-dimensional and sequential sensor data.
Create and adjust loss functions and training strategies that help the model learn effectively from complex multimodal inputs and improve autonomy performance.
Configure, monitor, and maintain large-scale distributed training jobs across multiple machines and GPUs, ensuring stability, fault tolerance, and efficient resource usage.
Implement scalable systems to preprocess, transform, and augment large robotics datasets so that they are suitable for model training.
Work closely with ML scientists and other engineers to integrate new models, experiments, and training approaches into the production training pipeline.
Analyze training metrics, model outputs, and experiment logs to assess model performance and guide improvements in architecture, data usage, or training strategies.
Develop tools and workflows that allow teams to run experiments, track results, and iterate quickly on new model ideas or training approaches.

Qualifications

Master’s or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline.
Minimum of 5 years of professional experience developing, training, and deploying machine learning models in production environments.
Hands-on experience training machine learning models across multiple GPUs or compute nodes, including familiarity with distributed training frameworks and large dataset handling.
Strong programming skills in Python for implementing machine learning models, data pipelines, and training workflows.
Solid knowledge of core concepts such as neural networks, optimization algorithms, loss functions, model evaluation, and training methodologies.

What Makes You Stand out

Experience identifying and resolving training bottlenecks related to compute utilization, memory usage, and data throughput in machine learning systems.
Experience training machine learning models on robotics or autonomous driving datasets involving multimodal sensor inputs such as camera video, LiDAR point clouds, radar, or telemetry data.
Experience developing models that combine multiple data modalities (e.g., images, point clouds, and structured sensor data) into a unified learning system.
Peer-reviewed publications or significant research contributions in machine learning, robotics, or related areas.

Please note: The listed base salary range applies to candidates based in the US. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely in Canada
Canada - ALL: $177k - $215k CAD

Compensation Range: $225K - $260K

Apply Now

Refine Your Search

computer vision engineer jobs in ottawa on

Lead Machine Learning Engineer

Digital Design Engineer Prime (FEC)

Senior Software Engineer (Python + Distributed systems)

Digital Senior SerDes Design Engineer

Optical Components Product Engineer

Embedded Systems Developer Intern

Software Automation Engineer

Senior Hardware Qualification Test Engineer

Optical Components Test Engineer

Data Scientist II

Information & Sensor Fusion Engineer

Applied AI Backend Sr. Software Developer - Ottawa, ON

Digital Verification Engineer Prime (FEC)

Senior Analog Design Engineer

Water Co-op Student - Fall 2026

Geotechnical Engineer

CAD Tools Specialist

Water Resources Engineer

Photonics New Product Introduction Engineer

Senior Economist - Model Development

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