Top Machine Learning Jobs in Ottawa

As a Staff Machine Learning Engineer on the Risk team, you'll develop ML solutions to mitigate fraud and risk, collaborating cross-functionally across the organization.

As a Staff Machine Learning Engineer, you will lead ML solutions focusing on risk mitigation in Cash products, collaborating with multiple teams.

As a Principal Machine Learning Engineer, you'll implement machine learning algorithms, collaborate with teams, design model architectures and guide ML engineers to enhance AI functionalities across Atlassian products.

The Associate, ML Engagement Management will oversee program execution phases, design and document requirements, build customer relationships, and ensure project success.

As a Machine Learning Engineer II at Instacart, you'll design, develop, and deploy machine learning solutions to solve practical problems. Collaborating closely with product managers and data scientists, you'll improve the reliability of ML systems while focusing on effective incentivization methods. Your work will contribute to the company's growth and sustainability efforts.

Design and maintain high-performance APIs and services while collaborating across teams, ensuring reliability and enhancing engineering standards. Lead major projects and mentor engineers for growth.

As a Full Stack Engineer on the AI Decisioning team, you will develop intuitive interfaces for non-technical users, integrating ML models and offering insights to enhance marketing strategies. You will collaborate with cross-functional teams to architect and build robust marketing products.

As a Machine Learning Engineer, you will fine-tune models, develop pipelines, and work with customers to implement effective solutions, focusing on advanced techniques like LoRA and distributed training.

Lead customer engagement by guiding workshops and prototyping solutions. Provide technical leadership, problem-solving, and support while sharing insights to shape product evolution.

The Staff AI Modeler will lead AI and ML initiatives to improve fraud detection and analyst productivity with a focus on Generative AI and LLMs.

The Sr. Machine Learning Engineer will build scalable ecosystems, collaborate across teams, innovate with ML technologies, and maintain data pipelines while ensuring coding quality and best practices.

The Manager of Sales Engineering will oversee technical sales processes, consult with customers on their needs, demonstrate product capabilities, and support customer relationships for growth.

Design and implement deep learning algorithms in C++ or Python for computer vision applications in robotics. Collaborate on data analytics and ML pipelines.

Engage the AI community through content creation, research, and coding. Develop AI applications, grow visibility, and influence through social media.

The Staff Machine Learning Engineer will build and evaluate large-scale machine learning systems, collaborate with scientists, and mentor others in software engineering best practices.

The Principal MLOPs Engineer will architect and optimize an ML inference platform, collaborate with teams to meet business goals, lead engineering efforts, and mentor team members.

As a Machine Learning Engineer at Hightouch, you will build intelligent solutions for data activation, focusing on personalization, experimentation, predictive modeling, content generation, and budget optimization. Responsibilities include customer research, problem definition, and machine learning infrastructure development.