Calgary, Ab Lead machine learning Jobs – 73 Openings This Week

Lead Machine Learning Engineer
Serve Robotics —Calgary, AB
- $225,000–$260,000 a year
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Engineering
Food Service Specialist
Circle K —Calgary, AB
- Full-time
- Writing skills
- Merchandising
- Sanitation
- Employee stock purchase plan
- Disability insurance
Sr. Research Scientist
Intermap Tech —Calgary, AB
- Doctoral degree
- Software troubleshooting
- Data analysis skills
Quick apply
Senior Data Scientist
Arolytics Inc. —Calgary, AB
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
Quick apply
Technician - Millwright (Carseland, AB)
Orica —Carseland, AB
- Full-time
- Management
- Continuous improvement
- Mentoring
- Disability insurance
- Paid time off
Quick apply
Water Technician Lead
Winmar Calgary —Calgary, AB
- $30–$35 an hour
- Full-time
- Customer service
- English
- First Aid Certification
- Disability insurance
- Dental care
Quick apply
Service Writer
Kristian Electric Ltd —Calgary, AB
- $25–$28 an hour
- Overtime
- Microsoft Outlook
- Administrative experience
- High school diploma or GED
- Dental care
Quick apply
3d
Production Manager
Fuze HR Solutions Inc. —Calgary, AB
- Engineering
- ERP systems
- Human resources
Quick apply
12d
Data Engineering Analyst
Servus Credit Union —Calgary, AB
- Remote
- Computer Science
- Engineering
- Java
- Profit sharing
Quick apply
2d
Senior QA Engineer
Absorb —Calgary, AB
- Full-time
- Remote
- Analysis skills
- Bachelor's
- No university degree
- Dental care
- Paid time off
Senior Research Scientist
Seequent —Calgary, AB
- Doctoral degree
- Research
- Master's degree
4d
AVP of Sales
SEW.AI —Calgary, AB
- Marketing
- Salesforce
- Master's degree
3d
Caretaker, Facilities Management
The University of Calgary —Calgary, AB
- Weekends as needed
- Customer service
- English
- Computer skills
6d
Product Designer
AltaML —Calgary, AB
- $80,000–$110,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- Machine learning
5d
Senior Machine Learning Software Developer (2026-025)
Circle Cardiovascular Imaging —Calgary, AB
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Wellness program
- Tuition reimbursement
Quick apply
Machine Operator II
Zurn Elkay Water Solutions —Calgary, AB
- Weekends as needed
- High school diploma or GED
- Mentoring
- Computer skills
- Employee stock purchase plan
- Designated paid holidays
3d
Account Executive
inBeat Agency —Calgary, AB
- Full-time
- Remote
- Research
- AI
- Paid time off
Senior Manager, Innovation Development
MNP —Calgary, AB
- Hybrid work
- Azure
- Machine learning
- Team management
Delivery Engineer - Canada
DataVisor —Calgary, AB
- $80,000–$120,000 a year
- Full-time
- Remote
- Computer Science
- Engineering
- System design
- Paid time off
Quick apply
Analyst, Decision Analytics
Canadian Tire Corporation —Calgary, AB
- Full-time
- Master's degree
- SQL
- Project management
- Profit sharing
Lead Data Engineer
Optillium Inc. —Calgary, AB
- $78,000–$105,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- SQL
- Dental care
- Paid time off
Quick apply
13d
Senior Data Scientist
Seequent —Calgary, AB
- Hybrid work
- Computer science
- Doctoral degree
- Research
Oracle Data Reporting Lead
Accenture —Calgary, AB
- $99,450–$209,900 a year
- Full-time
- Hybrid work
- ERP systems
- English
- Machine learning
Senior Applications Analyst
McCarthy Tétrault LLP —Calgary, AB
- Overtime
- Hybrid work
- Computer Science
- Maintenance
- English
- Paid time off
Enterprise Account Executive (Calgary)
Cerio —Calgary, AB
- Full-time
- Remote
- Business development
- Machine learning
- AI
- Paid time off
Quick apply
11d

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Lead Machine Learning Engineer

Serve Robotics
Calgary, AB

Apply Now

Job details

Full-time

Skills

Performance tuning
Doctoral degree
Computer Science
Engineering
Master's degree
Deep learning
Software development
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 jobs in calgary, ab

Lead Machine Learning Engineer

Food Service Specialist

Sr. Research Scientist

Senior Data Scientist

Technician - Millwright (Carseland, AB)

Water Technician Lead

Service Writer

Production Manager

Data Engineering Analyst

Senior QA Engineer

Senior Research Scientist

AVP of Sales

Caretaker, Facilities Management

Product Designer

Senior Machine Learning Software Developer (2026-025)

Machine Operator II

Account Executive

Senior Manager, Innovation Development

Delivery Engineer - Canada

Analyst, Decision Analytics

Lead Data Engineer

Senior Data Scientist

Oracle Data Reporting Lead

Senior Applications Analyst

Enterprise Account Executive (Calgary)

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