Top Tech Jobs & Startup Jobs in Toronto

Lead the development of AI agents, focus on LLM training and evaluation, architect the agentic platform backend, and provide technical leadership across teams.

The Lead Machine Learning Engineer will design personalized memory systems for Search and Recommendations, integrating them to enhance user intent understanding and ranking models.

The FP&A Manager will collaborate with engineering and product teams to manage budgets, analyze financial data, and support investment decisions, focusing on AI/ML and platform infrastructure.

Lead forecasting process, manage reporting, partner with teams, improve models and dashboards, analyze metrics, and support annual planning.

As a Lead Data Analyst for Marketing Analytics, you will develop measurement frameworks for SEO and LLM, create insights across the organic marketing funnel, analyze customer journeys using SQL and Python, and present findings to leadership to optimize growth strategies.

Lead the development of AI agents and their platform, including LLM training, backend infrastructure, and technical leadership across teams.

As a Senior Applied Machine Learning Engineer, you will leverage machine learning techniques to enhance search relevance and personalize user recommendations, working with large-scale data to solve complex problems.

Lead Product Designer for Growth & Monetization designing end-to-end acquisition, retention, and monetization experiences. Run experiments, prototype AI features, collaborate with PM, engineering, data science, and research, and mentor designers to drive measurable product and revenue improvements.

Seeking a Senior Lead Research Scientist to conduct research and engineering in autonomous AI, develop benchmarks, publish studies, and implement safe learning loops for agents.

Lead monthly and quarterly forecasting for corporate balance sheet and cash flows. Build and maintain models for fixed/intangible assets, equity compensation, and loss provisions. Prepare executive reporting, perform variance analysis, partner cross-functionally, and improve forecasting processes using AI tools.