Ottawa, On Lead machine learning engineer Jobs – 26 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
Systems Administrator (Lead)
Rebel —Ottawa, ON
- $90,000–$130,000 a year
- Full-time
- DevOps
- Windows
- AWS
Quick apply
Technical Consulting Technical Leader
Cisco Systems —Ottawa, ON
- $126,000–$241,700 a year
- Full-time
- Hybrid work
- Bilingual
- Sales
- English
- Designated paid holidays
- Disability insurance
Support Engineering Team Lead | Remote | US
n8n —Ottawa, ON
- $190,000 a year
- Full-time
- Remote
- English
- APIs
- AI
- Disability insurance
- Dental care
11d
CCaaS Delivery Lead
Accenture —Ottawa, ON
- $131,700–$278,100 a year
- Full-time
- Hybrid work
- Oracle
- English
- Project management
10d
Innovation and AI Technical Lead
Invest Ottawa —Ottawa, ON
- $91,200–$125,400 a year
- Full-time
- Hybrid work
- ERP systems
- Analysis skills
- Software development
Quick apply
11d
Data Management Lead-Palantir
Accenture —Ottawa, ON
- $108,800–$220,400 a year
- Full-time
- Hybrid work
- PMP
- English
- Business development
8d
Lead Product Manager - AI Developer Platform
Scribd, Inc. —Ottawa, ON
- $141,000–$256,500 a year
- Full-time
- AWS
- Product management
- APIs
- Disability insurance
- Dental care
CCaaS Tech Lead
Accenture —Ottawa, ON
- $108,800–$220,400 a year
- Full-time
- Hybrid work
- AWS
- Bachelor's
- APIs
11d
Business Development Lead
NP Aerospace Limited —Ottawa, ON
- $110,000–$140,000 a year
- Full-time
- Microsoft Excel
- Sales
- Bachelor's
- Dental care
- Life insurance
Lead, AI Apprenticeship
Canadian National Institute for the Blind —Ottawa, ON
- $26.86–$33.57 an hour
- Computer Science
- Microsoft Office
- No university degree
Quick apply
8d
Business Development Lead
NP Aerospace —Ottawa, ON
- $110,000–$140,000 a year
- Full-time
- Microsoft Excel
- Sales
- Business development
- Dental care
- Paid time off
AI-Powered Application Lead — Senior Manager
Accenture —Ottawa, ON
- $119,700–$247,800 a year
- Full-time
- Azure
- DevOps
- System design
Lead Software Developer
Spiria —Ottawa, ON
- $300 an hour
- Full-time
- Hybrid work
- Bilingual
- English
- C++
- Profit sharing
- Employee assistance program
Quick apply
Senior Test Engineering Developer - Project Lead
General Dynamics Mission Systems - Canada —Ottawa, ON
- $105,500–$132,000 a year
- Full-time
- Hybrid work
- Engineering
- Assembly
- Bachelor's
- Dental care
- Tuition reimbursement
Quick apply
5d
Chef·fe d’équipe assurance qualité (automatisation des tests) / QA Lead (Automated Test)
Portage CyberTech —Gatineau, QC
- Full-time
- Hybrid work
- Azure
- DevOps
- English
- Dental care
- Paid time off
Oracle Data Reporting Lead
Accenture —Ottawa, ON
- $99,450–$209,900 a year
- Full-time
- Hybrid work
- Azure
- Oracle
- ERP systems
2d
Lead Java Developer/Architect
gravity9 —Ottawa, ON
- Full-time
- Remote
- Java
- AWS
- Analysis skills
Quick apply
AI Strategy Delivery Lead – Retail - Strategy & Consulting
Accenture —Ottawa, ON
- $142,050–$292,000 a year
- Full-time
- Hybrid work
- Azure
- English
- AWS
Project Leader (MD-DNPL-240009N)
Nortak Software Ltd. —Ottawa, ON
- Hybrid work
- Azure
- Computer Science
- DevOps

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lead machine learning 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

lead machine learning engineer jobs in ottawa, on

Lead Machine Learning Engineer

Systems Administrator (Lead)

Technical Consulting Technical Leader

Support Engineering Team Lead | Remote | US

CCaaS Delivery Lead

Innovation and AI Technical Lead

Data Management Lead-Palantir

Lead Product Manager - AI Developer Platform

CCaaS Tech Lead

Business Development Lead

Lead, AI Apprenticeship

Business Development Lead

AI-Powered Application Lead — Senior Manager

Lead Software Developer

Senior Test Engineering Developer - Project Lead

Chef·fe d’équipe assurance qualité (automatisation des tests) / QA Lead (Automated Test)

Oracle Data Reporting Lead

Lead Java Developer/Architect

AI Strategy Delivery Lead – Retail - Strategy & Consulting

Project Leader (MD-DNPL-240009N)

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