Top Tech Jobs & Startup Jobs in Toronto

The Applied Scientist will develop quantitative models to improve pricing, demand forecasting, and risk management, collaborating with cross-functional teams to implement solutions.

As a Software Engineer at Opendoor, you will build crucial production systems, own features from design to deployment, and mentor teammates while leveraging AI tools.

As an Applied Scientist, you will push the limits of AI/ML in home valuation, tackling diverse ML challenges and optimizing decision-making with data.

Build and maintain people and TA dashboards, execute compensation and leveling projects, automate recurring People Operations processes, support TA analytics, improve HRIS/data quality, prototype AI-enabled workflows, and translate compensation data into decision-ready narratives for leadership.

Lead Opendoor's Canadian tax function, managing corporate and indirect tax compliance, transfer pricing, tax authority relationships, and cross-border US tax support. Drive AI-enabled workflow improvements and contribute to public company tax reporting.

Design, build, and operate production ML models, services, and platforms for pricing, risk, and decision systems. Own end-to-end model pipelines, deployment, monitoring, and iteration. Collaborate with researchers and product to productionize prototypes, tackle data drift and sparsity, lead design reviews, and mentor teammates.

The role involves building AI-powered analytics tools, proactive intelligence systems, and automating decision processes based on data-driven insights to drive business impact at Opendoor.

Own application-layer risk identification and remediation across consumer products and APIs. Build and operate AppSec tooling, Harden auth/authorization and GraphQL security, run HackerOne and offensive testing, lead threat modeling and security reviews, and build AI agents to automate triage and remediation while embedding secure-by-default practices into engineering workflows.

Design, operate, and improve cloud security for a multi-account AWS environment and Kubernetes clusters. Build detection, prevention, and automated remediation workflows, drive zero-trust access, shift-left security in pipelines, integrate cloud security tooling, mentor engineers, and partner with infrastructure teams on identity, networking, and secrets management.