Top AI Jobs in Calgary

The Principal Machine Learning role focuses on leading the development of ML solutions for AEC, building scalable data pipelines, optimizing production ML frameworks, and mentoring junior engineers.

As a Software Development Manager for AI Product, you will lead a team to deliver AI solutions, align technical initiatives with business goals, and foster a culture of collaboration and innovation.

Join an expert annotation team to create training data for AI models. Evaluate AI-generated code, solve coding problems, and write test cases. Requires 3+ years in software engineering, mainly using Python.

Design and implement advanced multi-agent AI systems for logistics, enhance automation, and oversee system performance and reliability.

As an Applied AI Engineer, you will develop autonomous AI systems for logistics, integrate multi-agent systems, and implement advanced reasoning and monitoring capabilities.

Design and develop backend systems for large-scale AI workflows. Enhance data infrastructure, drive engineering excellence, and mentor junior engineers.

The role involves deploying machine learning models for real-time inference, developing APIs, optimizing inference systems, and ensuring their reliability.

The Full Stack AI Software Engineer will propose product features with LLMs, improve code quality, and collaborate with various teams to enhance product delivery.

Design and implement deep learning algorithms in C++ or Python for computer vision applications in robotics. Collaborate on data analytics and ML pipelines.

The role focuses on optimizing and accelerating machine learning models for embedded hardware, involving custom kernel development and collaboration with engineers.

The role involves assessing AI-generated math content, crafting math questions, and evaluating AI responses, requiring expertise in math and Spanish.

We are looking for a Fullstack Developer with experience in web projects, LLMs, and AI integration. The role involves collaboration on innovative projects, creativity, and adaptability in problem-solving.

Join an annotation team to create training data for AI language models using Python and React. Responsibilities include evaluating AI-generated code, building components, and developing mobile applications.

Join an annotation team to create training data for AI models. Responsibilities include verifying testing logs, categorizing problems, writing notes, evaluating AI-generated code, and solving coding problems across various languages.

As an Applied AI Engineer at Warp, you'll design and deploy predictive AI features, enhance code generation, and optimize AI models to improve developer interactions and effectiveness within their environment.

The AI/ML Specialist Solutions Architect will design scalable AI solutions, build customer relationships, deliver technical presentations, and collaborate with engineering teams to prioritize feedback.

As a Senior Software Engineer for the AI Data Platform, you will lead the design and development of scalable data infrastructure and optimize database systems for performance and reliability, collaborating with cross-functional teams to enhance AI platform capabilities.