Top Machine Learning Jobs in Calgary

As a Senior Machine Learning Engineer, you'll develop ML solutions, design APIs, maintain data pipelines, and collaborate with teams for optimal performance and innovation.

Design and implement scalable ML infrastructure, develop CI/CD pipelines, collaborate with teams to optimize model performance, and provide DevOps support.

Lead the development of AI-driven automation for security operations, focusing on integration, scalability, and accuracy of systems to enhance security efficacy.

As a Senior Machine Learning Engineer, you will develop ML/AI applications, enhance operational safety and efficiency, and collaborate with various teams on innovative projects.

The Senior B2B Marketer will develop and execute marketing strategies, collaborate with sales, create materials, and conduct market research to drive growth in the gaming and 3D industries.

The Field Application Engineer provides technical support for electronic and automation products, collaborates with sales teams, delivers training, and ensures customer satisfaction.

The position involves collaborating on R&D initiatives in veterinary cytology, developing educational materials, and providing clinical pathology insights while leading presentations for innovative product development.

As a Sr. ML/Edge AI Firmware Engineer, you will develop firmware for video safety products, manage production systems, mentor engineers, and drive architectural initiatives for camera-based systems.

The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

The Director of AI will define the AI strategy, manage R&D efforts, and drive organizational adoption of AI in game development and operations. Responsibilities include setting priorities, leading cross-functional initiatives, and establishing metrics for success.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The Senior Data Scientist will optimize customer onboarding using machine learning and generative AI, design models, and collaborate with engineering.

Lead a team of engineers to develop Dropbox’s AI product, Dash. Focus on operational excellence, data-driven decisions, and team growth.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

As a Platform Architect, you will design and implement a scalable AI technology platform and collaborate across teams to meet user requirements and business objectives.

Wealthsimple is seeking experienced Canadian leaders abroad in Engineering, Product & Design, Data & Machine Learning, Finance & Strategy, and Leadership roles to help build impactful financial tools in Canada.

As a Senior Software Engineer, you will create data pipelines for training and evaluating Waabi's autonomous platform, ensuring quality code and collaborating with a multidisciplinary team.

Lead the Product Marketing Management team to drive revenue growth and market awareness, overseeing product strategy, pricing, and cross-functional alignment while mentoring the team and advocating for customer insights.

As a Senior Machine Learning Engineer, you will design and implement machine learning algorithms, build models, evaluate performance, and guide junior engineers to enhance AI functionalities across Atlassian products.

The R&D Intern will work on NLP projects, develop algorithms, write academic papers, and collaborate with researchers on novel solutions.

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

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

The Fractional CTO will lead AI-focused projects, manage technical teams, and guide startups in technology development and strategic planning.

The Applied Scientist will drive technical decisions, automate ML workflows, collaborate with customers, and develop production-ready solutions based on research and product needs.