Top Machine Learning Jobs in Toronto

As Senior Product Manager, you'll lead AI innovation in financial advisory tools, collaborating with teams to enhance user experiences and product impact.

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

Seeking a Research Scientist to develop AI models for enhancing 3D reconstruction processes, requiring strong skills in computer vision and neural reconstructions.

The engineer will develop algorithms and optimizations for NVIDIA's LPX inference stack, focusing on compiler components, performance metrics, and collaboration with hardware teams.

The Senior ML Platform Engineer will develop scalable machine learning solutions, manage ML infrastructure, and ensure observability in ML workflows while collaborating with cross-functional teams.

As a Data Developer, you'll build and optimize data pipelines, collaborate with cross-functional teams, support data architecture, and ensure data quality along with mentoring on best practices.

The Performance Engineer - Inference will optimize model inference speed and throughput, debug low-level kernel performance, and develop tools to visualize performance data.

Design and implement system-level debugging, validation, and observability platforms. Build automated anomaly detection, visualization and analysis tools, and frameworks for failure classification and regression detection. Extend compilers, runtimes, and instrumentation for advanced profiling. Improve bring-up and low-level debug workflows, partner cross-functionally across hardware, firmware, compiler and runtime teams, lead high-impact initiatives, and support incident response and long-term corrective actions.

The Product Manager will define the product strategy for North in the public sector, ensuring compliance and addressing government needs in AI adoption.

The Applied Scientist will transform raw data into actionable insights by developing machine learning models for personalization, ranking, and optimization to enhance conversion and revenue. This role emphasizes building production systems, frameworks for experimentation, and communication with team members regarding technical challenges.

Lead the product vision for innovative AI technologies, translating research into marketable products, and collaborating with cross-functional teams.

The Technical Solutions Manager bridges Sales and Software Engineering, leading technical discovery, designing solutions, and engaging customers to drive revenue growth.

As a Senior Machine Learning Engineer, you will design scalable AI systems, work with large datasets, write maintainable code, and continuously learn with a team of AI developers.

The Senior ML Systems Engineer will build and maintain the training framework for large-scale language models, focusing on distributed training and performance optimization.

Develop algorithms and optimizations for LPX inference and compiler stack, focusing on deep learning and performance enhancements across NVIDIA systems.

The role involves developing algorithms for inference optimization, building compiler components, and collaborating across teams to enhance performance on NVIDIA platforms.

Lead advanced AI research and integration into Vanguard's ecosystem, focusing on groundbreaking projects in AI methodologies like LLMs and Responsible AI, while mentoring teams and collaborating with partners to optimize business processes.

The Machine Learning Engineer will create scalable ML systems, build production data pipelines, and ensure robust deployment and monitoring of solutions.

The Senior Machine Learning Engineer will develop and implement machine learning solutions, ensuring scalability, security, and adherence to best practices while collaborating with cross-functional teams.

Lead a team to build and optimize machine learning infrastructure for drug discovery. Collaborate across teams to ensure scalable ML solutions and optimize deep learning workloads.

The Solutions Engineer will engage with stakeholders to design AI-powered engineering solutions, bridging business needs and technical execution while guiding customers through AI integration.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

As an AI/ML DevOps Engineer, you will operationalize AI solutions, build CI/CD pipelines, and ensure production system reliability. Collaborate with data scientists and engineers to deliver AI capabilities and maintain strong operational practices.

Seeking a Sr Data & ML Engineer to lead technical efforts, drive architectural decisions, ensure engineering excellence, and map business problems to solutions within eBay's Product Knowledge team.

As a Staff AI/ML Engineer, you will design and build AI systems for consumer learning products, integrate foundation models, and ensure product quality through evaluation frameworks while collaborating with cross-functional teams.