Top Machine Learning Jobs in Ottawa

The Senior Machine Learning Engineer will enhance AI systems for patient and physician features, evaluate ML models, and mentor junior engineers.

As a Senior Platform Engineer, you'll develop the workflow stack for AI products, collaborate on platform needs, build integrations, and ensure platform health.

Lead the team in developing real-time bidding systems, optimize ad campaign strategies, and manage engineering talent while collaborating cross-functionally.

The Principal Engineer will lead advanced process control initiatives, support sales, develop technical proposals, mentor staff, and ensure successful implementation of process optimization solutions.

NuBinary seeks a Fractional CTO specializing in AI. Responsibilities include leading AI projects, team management, and overseeing product development. Ideal candidates have extensive experience in AI-focused startups. The role includes potential future full-time employment options.

As an Applied AI Researcher, you'll develop algorithms for diverse data modalities, lead research efforts, and collaborate with teams to innovate in generative AI.

Seeking a proactive Partner Solutions Architect to guide partners in architecture, design, and implementation of Fireworks AI solutions, ensuring alignment with sales and engineering teams.

As a Backend Software Engineer, you'll design and develop core backend systems for AI workloads, focusing on efficiency, scalability, and stability while collaborating with cross-functional teams.

The Forward Deployed Engineer will engage with customers to understand their needs, delivering tailored solutions using the Fireworks AI platform while collaborating with the engineering team for continuous improvement.

As a Machine Learning Engineer at Delphina, you'll automate ML workflows, conduct research, and transform customer needs into product solutions, leveraging your software engineering and ML expertise.

The Staff Machine Learning Engineer will design ML models, enhance document processing systems, and build scalable ML pipelines to optimize risk assessment and user onboarding at Coinbase.

As a Machine Learning Researcher, you'll innovate telehealth care, collaborate on healthcare ML applications, publish research, and mentor interns.

Drive technical vision for Thumbtack's ML infrastructure, lead initiatives across teams, mentor engineers, and architect scalable ML systems.

As a Senior Machine Learning Engineer, you will develop and maintain advanced NLP applications for Poe, oversee machine learning systems, and collaborate on innovative AI-driven features.

The Machine Learning Engineer will optimize content distribution systems, improve existing ML systems, and collaborate on scalable models for Quora's recommender systems.

The Principal Machine Learning role focuses on leading the development of ML solutions for AEC, building scalable data pipelines, optimizing production ML frameworks, and mentoring junior engineers.

Responsible for developing and scaling the core components of the nELISA software stack, implementing internal tools, building data analysis pipelines, and collaborating with cross-functional teams.