Top Tech Jobs & Startup Jobs in Toronto

Implement and scale ML experiments and training pipelines, collaborate with researchers to turn ideas into production-ready systems, run ablations and evaluations, debug models, and optimize model training and evaluation infrastructure for NLP and deep learning research.

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

The role involves managing Cohere's platform for developers and enterprises, overseeing APIs, SDKs, and tooling for improved integration and user experience.

This role involves building and scaling compliance programs, translating security and regulatory requirements into scalable solutions, and collaborating across teams, specifically in AI governance and technical compliance automation.

The Research Intern will conduct machine learning research, focusing on large language models, and disseminate results through publications and code while collaborating with Cohere researchers.

The Product Manager will oversee user engagement and growth for an AI platform across native apps for iOS, Android, and macOS, focusing on onboarding and retention strategies.

Lead the deployment of AI solutions for public sector clients, ensuring compliance with security standards while integrating AI into enterprise workflows.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

As a Forward Deployed Engineer, you will build features for an AI platform, develop integrating solutions, lead deployments, and engage with customers.