Top Machine Learning Jobs in Calgary

Lead the design and implementation of AI-driven fraud prevention strategies, balancing user experience with security to protect user data and prevent unauthorized access.

Develop and scale machine learning training systems for robotics data, optimize training pipelines, and collaborate with ML researchers to enhance autonomy models.

The Account Executive is responsible for growing sales of Microsoft 3-cloud products, managing sales cycles from lead capture to closure, and building relationships with Microsoft account teams and clients.

The Head of Startup Program will create and manage an AI-centric startup program, drive customer engagement, and establish strategic partnerships in the ecosystem.

Precision AI seeks enthusiastic individuals for spontaneous applications in engineering, operations, and business to revolutionize agriculture using drone technology.

Lead product strategy and execution at Findem, focusing on delivering insights and coordinating with cross-functional teams. Own the product development process and drive innovation while aligning with market needs.

The Robotics ML Expert designs and implements MuJoCo simulations, develops RL algorithms, and collaborates on robotics research and AI training.

The Machine Learning Engineer will develop models to enhance customer experiences, create LLM-based solutions, and collaborate with cross-functional teams in an agile environment.

As a Senior Principal Machine Learning Engineer, you'll lead technical projects, mentor teams, and implement ML systems, focusing on AI in AEC solutions.

The Account Executive will drive sales, develop strategies for business growth, manage accounts, and lead collaborations with clients and teams in the insurance sector.

As an Account Executive, you will drive new business opportunities and manage existing accounts in the telecom sector, contributing to revenue growth and sales strategy execution.

Lead Machine Learning Engineer responsible for setting technical vision, guiding teams, architecting solutions, and overseeing project delivery on Google Cloud. Requires strong ML fundamentals and excellent communication skills.

Lead the machine learning and personalization efforts at Babylist, managing a team focused on enhancing product recommendations, search, and revenue through ML initiatives.

Develop network automation software for TeraWave satellite communication systems, focusing on embedded software, network protocols, and real-time processing.

Lead the design and optimization of programmatic bidding systems, collaborating with engineers and applying analytical methodologies to enhance performance.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

As a Software Engineering Intern, you'll develop features for user-facing products, work on API platforms, and design data pipelines while gaining hands-on experience in AI technologies.

Support and integrate perception algorithms in self-driving vehicles, ensuring code quality and solving integration challenges across multiple sensor modalities and deep learning models.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

As a Software Engineer in ML Infrastructure, you will develop scalable data pipelines, enhance data discovery, and collaborate with teams on data organization and ML features.

Design, build, and deploy high-performance deep learning models for 3D medical image segmentation, geometric analysis, and physiological prediction. Own end-to-end ML systems, write tested production-quality Python/C++ code, mentor junior engineers, and integrate models into the broader software ecosystem while ensuring compliance with medical imaging standards.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

Develop and implement messaging and positioning for AI products, create marketing content, lead go-to-market strategies, and analyze market research.