Top Machine Learning Jobs in Calgary

The Senior Account Executive will leverage technical expertise to drive revenue growth, build partnerships, and represent technology in the engineering sector.

As a Customer Success Manager, you will drive customer satisfaction and retention by providing technical guidance, managing renewals, and championing customer needs while fostering collaboration across teams.

In this role, you will integrate machine learning models into vehicle planning systems, improve decision-making algorithms, and ensure safety and reliability in real-world environments.

The Director of Engineering, AI will lead AI initiatives, drive product strategy, manage engineering teams, and ensure effective technical execution in a fast-paced environment.

The Staff Machine Learning Engineer will lead machine learning projects, mentor junior staff, advocate for data-driven practices, and collaborate across teams to improve product offerings.

The Senior Staff Machine Learning Engineer will lead the design and scaling of advanced ML systems, mentor engineers, and define technical strategy across Affirm.

As Senior Product Manager, you'll lead AI innovation in financial advisory tools, collaborating with teams to enhance user experiences and product impact.

As a Machine Learning Engineer, you will develop and implement machine learning algorithms, train models, collaborate with product and engineering teams, and guide junior engineers.

As a Staff Machine Learning Engineer, you will optimize Quora's ad products by applying machine learning algorithms, taking ownership of systems, and collaborating across teams.

The Junior Data Scientist will design and develop data models using Machine Learning and Analytics for trading and compliance in finance.

Design and maintain infrastructure for scalable real-time data pipelines, develop tools for custom ML algorithms, and manage training and deployment for ML tasks.

Lead the Marketplace engineering team to enhance the renter experience by developing scalable systems, managing teams, and collaborating with cross-functional stakeholders to drive product strategy.

As Engineering Manager for the Marketplace team, lead full-stack engineers, drive strategic vision, manage team processes, and enhance user experience using AI and ML innovations.

Lead the development of machine learning systems for fraud detection and risk modeling at scale, collaborating across teams and influencing ML strategy.

As a Senior Machine Learning Engineer, you'll design and deploy ML models to prevent fraud, enhance safety, and support financial services at Block.

Design and maintain ML pipelines and data pipelines, optimize fraud detection models, collaborate with teams, and ensure data quality for high-scale applications.

As a Staff Machine Learning Engineer, you will design and develop ML systems to combat fraud by building data pipelines, integrating data sources, and ensuring high-quality model performance while collaborating with teams.

Design and maintain ML pipelines, build data ingestion tools, collaborate with data teams, ensure data quality, and solve technical challenges in a fast-paced environment.

As a Staff Machine Learning Engineer, you will design and develop machine learning systems to prevent fraud, ensuring data quality and integrating diverse data sources while collaborating with cross-functional teams.

The Lead Product Manager, AI will identify and build AI-powered products, drive growth and customer experience, and collaborate with cross-functional teams.

As an Enterprise Product Marketing Manager, you'll craft narratives for AI agents, develop executive content, and communicate value to enterprise clients.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

As a Senior Product Manager, you will own product outcomes, develop roadmaps, translate market insights into action, and navigate technical complexities in a startup environment.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

The Solutions Engineer supports the sales team by providing technical expertise, conducting demonstrations, designing solutions, and managing complex integrations during the sales cycle.