Top Machine Learning Jobs in Calgary

The Staff Machine Learning Engineer will lead projects focusing on developing intelligent machine learning solutions for Square's products. Responsibilities include collaborating with leaders to define success criteria, driving machine learning projects, and mentoring team members, while advocating for engineering best practices and maintaining high code quality.

The Staff Machine Learning Engineer will develop machine learning and deep learning models for churn risk assessment and product recommendations, lead cross-functional projects, and mentor team members. This role involves designing ML systems and collaborating with business leaders to enhance seller growth and retention.

The Principal Machine Learning role involves architecting scalable data pipelines and production-level ML solutions for the AEC industry, leveraging generative AI and large-scale multimodal data. The role requires technical guidance, mentoring juniors, and defining innovative solutions through deep domain expertise in modern ML frameworks and cloud services.

As a Software Development Manager, you will lead a team of engineers and MLOps specialists, prioritizing ML initiatives aligned with Clio’s AI strategy. Your role involves delivering impactful AI-driven solutions, fostering a culture of innovation, and mentoring your team to shape the future of legal tech.

The Machine Learning Engineer at Clio will develop advanced machine learning models and solutions to enhance customer experiences using structured and unstructured data. They will collaborate cross-functionally to identify new ML-driven features and work in an agile environment with a team of engineers and data scientists.

The Senior Machine Learning Engineer at Clio will develop advanced machine learning models, particularly focusing on NLP and Generative AI, to enhance the customer experience. This role involves collaboration with cross-functional teams to identify ML-driven features while working in an agile environment and mentoring team members.

The Senior Machine Learning Engineer will develop and deploy AI models on edge devices, optimize models for real-time inference, integrate ML models into resource-constrained environments, and stay updated with advancements in computer vision and embedded AI. The role requires collaboration with product managers to translate customer needs into ML solutions and involves troubleshooting edge AI systems.

As a Senior Machine Learning Engineer, you will design, build, deploy, and refine large-scale machine learning systems for Dropbox Dash. You will collaborate with cross-functional teams to personalize user experiences and implement modern advancements in AI and ML.