Top Machine Learning Jobs in Toronto

The role involves developing machine learning models for credit opportunity management, collaborating with cross-functional teams, and optimizing data pipelines at Affirm.

As a Machine Learning Engineer, you'll design scalable data pipelines, implement ML algorithms, and work in a collaborative team on ad optimization models.

Contribute to Affirm's ML platform by developing backend systems, collaborating with teams, ensuring high-quality work, and improving code. Focus on growth and system reliability.

The ML Engineer will enhance AI systems for healthcare applications, collaborating with multidisciplinary teams and developing machine learning models and evaluations.

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.

As a Machine Learning Developer, you will build ML-powered features, support research, construct ML pipelines, and collaborate with global teams at Autodesk Research.

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.

The Senior Machine Learning Engineer will develop and manage machine learning models and data pipelines for the AEC industry, collaborating across teams to enhance workflows and deliver insights.

Lead a team in building data pipelines for AI applications, fostering an inclusive culture and mentoring team members. Ensure the delivery of solutions adhering to Agile principles and manage partnerships across organizations.

As a Machine Learning Developer, you will design data pipelines and machine learning models, optimize performance, and analyze large datasets to enhance design workflows for architecture, engineering, and construction industries.

As a Principal Machine Learning Developer, you will optimize ML models, enhance their performance, and collaborate with AI researchers on generative AI features.

The role involves leading a team to develop machine learning tools for the AEC industry, fostering a culture of innovation, and collaborating across organizations.

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.