Top Machine Learning Jobs in Ottawa

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.

Lead the Expense Management Engineering team at Clio, focusing on building AI-powered billing solutions and managing a team of developers and managers.

The Director of Performance Marketing is responsible for developing and executing paid media strategies, managing budgets, optimizing campaigns, and leading a digital marketing team to achieve B2B and B2C growth.

As a Senior Machine Learning Engineer, you will design and enhance the AI evaluation platform, focusing on data pipelines and model benchmarking systems, collaborating closely with team members.

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.

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.

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 Senior Product Manager will lead the development of WFM product suite, defining strategy, executing product lifecycle, and leveraging AI for enhancements.

As a Senior ML Engineer, you'll design and deploy ML solutions, mentor junior engineers, and enhance ML practices and infrastructure.

The ML Tech Lead will provide technical leadership, mentor engineers, guide technical decisions, and contribute to complex ML projects and architecture.

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

The ML Solutions Architect will lead technical discussions, design ML architectures, and ensure client satisfaction through effective communication and deep technical expertise in ML solutions.

This internship focuses on AI research, specifically in natural language processing. Responsibilities include designing caching systems, developing retrieval mechanisms, and conducting experiments with NLP models.

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.

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

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

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

The Senior Data Scientist II will develop machine learning models and collaborate with teams for data-driven decisions, enhancing data science methodologies.

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

As a Senior Research Scientist at Clarifai, you will develop and optimize machine learning models, particularly in Computer Vision and GenAI, and collaborate across team to deliver innovative AI capabilities.

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.

Design and deploy machine learning solutions for video analytics and operational insights. Collaborate with teams to integrate and optimize models, ensuring quality and performance in high-volume applications.

As a Senior Machine Learning Engineer, you will design ML systems for insights from data, manage the ML lifecycle, and develop recommendation systems through collaboration with cross-functional teams.

Develop and deploy ML-based perception algorithms for robotics, optimize pipelines, and collaborate across disciplines for integration.