Top Machine Learning Jobs in Calgary

Lead product strategy and execution for AI solutions in the financial sector, managing cross-functional teams and product lifecycle from ideation to delivery.

As a Key Account Manager at Nomic Bio, you will lead the expansion of pharmaceutical accounts, engaging with executives and coordinating with technical teams to drive the adoption of proteomic solutions in drug discovery.

The Senior AI Engineer will develop AI-driven browser automation tools for navigating websites and extracting data, focusing on machine learning techniques and collaboration with data scientists for model optimization.

The AI Product Manager will oversee the development of AI-driven workflows for construction scheduling, focusing on risk prediction and intelligent automation systems. Responsibilities include product strategy, collaborating with teams, and defining success metrics for new features.

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.

As Chief Product & Technology Officer, you will lead technology and product strategy, oversee product lifecycle, and scale teams at FutureFit AI to support workforce development.

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.

Interns will develop cutting-edge LLM applications, optimize prompting, and improve user experience, while collaborating with full-time engineers and receiving mentorship.

Collaborate to scale self-driving systems, build training frameworks, profile model performance, and evaluate emerging technologies for training and inference.

The Staff Full Stack Engineer will lead the architecture and implementation of scalable AI learner engagement systems, mentor other engineers, and contribute to technical direction and best practices.

The Staff Machine Learning Engineer will enhance Quora's recommendation systems, lead machine learning projects, and own end-to-end ML processes.

Lead NerdWallet's customer support transformation through AI, overseeing operations, strategy, and team development to improve customer satisfaction and operational efficiency.

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

The Machine Learning Engineer will scale core infrastructure, manage data pipelines and model evaluation, and improve benchmarking systems. Collaborate with teams to enhance AI evaluation methodologies.

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.

The Manager, Field Engineering will lead a team of Solutions Architects, driving customer success with Databricks' data and AI technologies while collaborating with Sales and enhancing team culture.

The Product Owner will translate strategic goals into user stories, manage the development backlog, facilitate agile ceremonies, and ensure feature quality for the product roadmap.

Design, build, and scale ML systems for demand forecasting and vehicle positioning. Collaborate with teams and mentor engineers to enhance ML expertise.

The Machine Learning Engineer will lead machine learning projects to enhance home decor visualization, collaborating with teams to refine algorithms and user experience.

This role involves designing and deploying high-performance deep learning models for medical imaging, mentoring junior engineers, and ensuring seamless ML integration into software products.

The role involves designing and implementing machine learning systems for knowledge representation and temporal reasoning, focusing on organizational intelligence. Responsibilities include building LLM-powered pipelines, developing memory algorithms, and researching various ML techniques.

The role involves building production ML models for voice AI, focusing on fine-tuning, deploying, and evaluating models to enhance human-like interactions.

You will build a search and assistant product, improve personalization, train models, and write robust code while mentoring junior engineers.

Lead the development of AI/ML platforms, architecture, and infrastructure, ensuring technical excellence, mentorship, and effective solutions to meet business needs.

As a Senior Machine Learning Engineer specializing in Reinforcement Learning, you will develop and deploy RL solutions, optimize ML models, and lead client discussions while ensuring high-quality engineering practices are followed.