Calgary, Ab Developer python, oracle pl/sql, Jobs – 79 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
Senior Software Engineer
Royal Bank of Canada —Calgary, AB
- Full-time
- Azure
- System design
- Databases
6d
Senior Consultant, Software Delivery Developer
KPMG —Calgary, AB
- Full-time
- Microsoft Excel
- Azure
- Computer Science
AI Native Full Stack Developer — Associate Manager / Manager
Accenture —Calgary, AB
- $90,850–$140,850 a year
- Full-time
- Computer Science
- Engineering
- English
Principal Software Development Engineer - Applied AI
Wagepoint —Calgary, AB
- $200,000–$220,000 a year
- Remote
- Engineering
- No experience needed
- Master's degree
Quick apply
9d
Senior Software Engineer - Landmark
Halliburton —Calgary, AB
- Full-time
- Azure
- Oracle
- Computer Science
Software Engineering Lead - Landmark
Halliburton —Calgary, AB
- Full-time
- Azure
- Computer Science
- Software troubleshooting
6d
Manager, Software Delivery Developer
KPMG —Calgary, AB
- Full-time
- Microsoft Excel
- Azure
- Computer Science
Senior Geophysical Java Software Engineer
Halliburton —Calgary, AB
- Full-time
- Azure
- Computer Science
- Data analysis skills
Senior Software Engineering Lead - Landmark
Halliburton —Calgary, AB
- Full-time
- Azure
- Computer Science
- Engineering
6d
Senior Full-Stack Engineer
Arcus Power —Calgary, AB
- Full-time
- Databases
- SQL
- JavaScript
- Wellness program
Quick apply
Software Engineer 3 (C++/Rust)
Black Duck Software, Inc. —Calgary, AB
- $110,600–$145,000 a year
- Doctoral degree
- Computer Science
- Engineering
8d
Senior Engineer Spatial Cloud Systems
BigGeo —Calgary, AB
- Full-time
- Azure
- Databases
- AWS
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Lead Machine Learning Engineer

Serve Robotics -
Calgary, AB

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

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developer python, oracle pl/sql, jobs in calgary, ab

Lead Machine Learning Engineer

Senior Software Engineer

Senior Consultant, Software Delivery Developer

AI Native Full Stack Developer — Associate Manager / Manager

Principal Software Development Engineer - Applied AI

Senior Software Engineer - Landmark

Software Engineering Lead - Landmark

Manager, Software Delivery Developer

Senior Geophysical Java Software Engineer

Senior Software Engineering Lead - Landmark

Senior Full-Stack Engineer

Software Engineer 3 (C++/Rust)

Senior Engineer Spatial Cloud Systems

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