Top Tech Jobs & Startup Jobs in Toronto

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

Luma AI seeks high agency talent for various roles across research, product engineering, marketing, and strategy. Ideal candidates are innovative, detail-oriented, and proactive in showcasing their work and achievements.

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.

Manage technical programs for generative AI video models, translating research into milestones, coordinating teams, and ensuring successful execution across all phases.

The role focuses on refining Luma's foundation models for better controllability and personalization while collaborating across research, product, and design teams.

Seeking a Research Scientist/Engineer to design and optimize distributed training systems for large-scale multimodal AI models using thousands of GPUs.

The role involves using AI tools to rapidly develop software, working across product and engineering teams, and owning software projects end-to-end.

The Research Engineer will design scalable evaluation systems for multimodal generative AI models, integrating metrics and automated pipelines for model assessment and improvement.

This role requires shaping technical direction, leveraging AI tools for production systems, and making crucial decisions to align product intent with engineering realities.