Top Machine Learning Jobs in Calgary

Lead and grow a global engineering team, drive technical strategy, and ensure alignment between client goals and engineering solutions in a remote setting.

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.

Lead the development and deployment of advanced machine learning models focusing on NLP, while ensuring model integrity and communication with stakeholders.

The Machine Learning Architect will design and implement AI/ML solutions using cloud platforms, working closely with customers to meet their business goals.

As a Machine Learning Engineer/Scientist, you will develop ML systems for cryopreservation research, manage data pipelines, and deploy models for scientific insight.

The role involves developing ML systems for enterprise workflows, focusing on user understanding, task prediction, and optimizing ML pipelines. Key responsibilities include designing scalable evaluation frameworks and collaborating with teams to deliver production-ready solutions.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

Contribute to developing machine learning models for multi-scale biology, focusing on design, deployment and optimization across teams and technologies.

The Machine Learning Engineer will develop and deploy ML systems, optimizing logistics algorithms to improve service efficiency while collaborating with various teams.

Design and build language models for AI security products, managing data pipelines, experiments, and model evaluations to ensure reliability and safety.

Lead a team of ML engineers and consultants to deliver AI/ML solutions on AWS while driving strategy, technical innovation, and practice development.

The Machine Learning Engineer develops and deploys models to optimize demand forecasting and vehicle positioning, collaborating with cross-functional teams to enhance rider experience.

The Machine Learning Scientist will design experiments, analyze data, develop evaluation methods, and collaborate on AI model research and production.

As a Machine Learning Scientist at LMArena, you'll lead open-source research, design experiments, and develop methodologies to evaluate AI models, collaborating across teams and engaging with the research community.

The Senior Software Engineer will lead the design of scalable, high-performance real-time data and API infrastructure, ensuring reliability and guiding engineers in best practices.

The Staff ML Ops Engineer builds and maintains infrastructure for ML applications, ensuring they are robust and production-ready, while collaborating with data scientists and ML engineers.

The Staff Software Engineer, AI/ML will design and develop intelligent agents, integrate them with existing systems, optimize performance, and collaborate with product teams, focusing on innovative AI technologies.

Design, build, and improve ML systems and infrastructure, mentor junior engineers, and write maintainable code in a customer-focused environment.

As a Machine Learning Engineer, you'll develop scalable ML solutions using Google Cloud Platform and Vertex AI, collaborate with teams, and operationalize models from ingestion to monitoring.

You will build frameworks for LLM-powered agents, design reinforcement learning approaches, lead development of scalable evaluation systems, and mentor other engineers while writing robust code for enterprise-grade assistants.

As a Machine Learning Support Engineer, you will address customer product issues, provide proactive guidance, and propose solutions to help clients succeed with Labelbox products.

The Senior Software Engineer II, Machine Learning will design and deploy ML algorithms, work with consumer data, and lead data teams.

The Senior Machine Learning Engineer will build and enhance AI/ML solutions for risk management, using advanced techniques like LLMs and algorithms for predictive analytics and automated assessments.

The Staff Machine Learning Engineer will develop and deploy advanced AI/ML solutions, focusing on product features like predictive analytics and risk assessments, using LLMs and classical ML techniques.

As a Machine Learning Intern at Ema, you will work on building and deploying machine learning models, analyzing datasets, and collaborating with senior engineers in a fast-paced startup environment.