Top Python Jobs in Toronto

Drive post-silicon bring-up, characterization, qualification, and productization of advanced-node bitcoin mining ASICs from first silicon to mass production. Develop and maintain ATE test programs and screening strategies, perform PVT characterization and DOE, analyze wafer/package/ system data to improve correlation, yield, and system performance, and collaborate with foundry, OSAT, design, firmware, and manufacturing partners to implement corrective actions and production-ready processes.

The Senior Analyst, Portfolio Strategy will provide insights to drive business growth, manage portfolio risk, and analyze pricing and profitability.

The Senior Staff Software Engineer will architect Affirm's lakehouse analytics platform, implement data governance, mentor engineers, and collaborate cross-functionally to optimize data infrastructure and solutions.

As an Infrastructure Engineer, you will build and manage scalable systems, optimize user experiences, and lead cross-functional projects while mentoring junior members.

As a Senior Software Engineer, you'll develop core infrastructure for multi-agent systems, designing backend services and APIs for orchestration, collaborating across teams, and driving technical decisions in a dynamic environment.

As a Data Analyst at Circle, you'll analyze payments data, create visualizations, develop dashboards, and support decision-making with insights. You'll partner with business teams to identify opportunities for enhancement and communicate findings effectively to stakeholders.

Lead QA efforts to design and maintain automated end-to-end tests across internal and external systems, build evaluation frameworks for AI/LLM features, embed testing into CI/CD pipelines, foster a shift-left quality culture, and transform manual testing into automation while collaborating with engineers and product managers.

Design, build, and operate production ML decision systems to detect and prevent payment fraud, account takeover, scams, and other abuse. Integrate diverse signals into low-latency serving and batch scoring, own feature pipelines and model lifecycle, develop AI-assisted triage and feedback loops, and partner cross-functionally to balance fraud reduction with legitimate customer access.

Design, build, and operate production ML systems that generate trusted signals for ranking, retrieval, recommendations, propensity/churn/LTV, and next-best-action decisioning. Define signal/data contracts, own feature and candidate generation through serving, experimentation, monitoring, and feedback loops, and evaluate long-term business impact, trust, fairness, and compliance. Partner across product, data, modeling, risk, and compliance and apply AI/agents to accelerate engineering and operations.

Design, build, and operate production ML decision systems to detect and prevent payment fraud, account takeover, identity abuse, merchant/marketplace risk, scams, and other adversarial activity. Own end-to-end production lifecycle: data contracts, low-latency inference, batch scoring, feature quality, deployment, monitoring, incident response, rollback, and feedback loops. Develop AI-assisted workflows and reusable decision capabilities while partnering with modelers, product, compliance, and operations.

Design, build, and operate production ML signal systems—ranking, retrieval, recommendations, propensity, and next-best-action—covering feature/candidate generation, serving, experimentation, monitoring, and feedback. Define signal contracts (freshness, provenance, confidence), evaluate long-term impact (trust, fairness, compliance), and partner across product, data, and risk teams to deliver reusable customer-intelligence capabilities.

As a Cloud Security Engineer at Opendoor, you'll manage security architecture across AWS and other environments, optimize cloud security tools, implement Zero Trust principles, and mentor engineers on security patterns.

The Sr Software Engineer will enhance platform performance, develop cloud-native systems, improve CI/CD processes, and oversee deliverables while collaborating with feature teams.

Perform real-time incident detection and response across Windows, Mac, and Linux; conduct malware and forensic analysis; develop detection and remediation processes; produce clear communications and thought leadership; mentor teams and interact with customers.

The App/AI Engineer will develop AI-enabled data applications for R&D, focusing on scalable data systems, code optimization, and collaboration with stakeholders.

The Senior Infrastructure Software Engineer will build and manage a scalable, in-house search platform, ensuring seamless user experiences and expanding capabilities for a global user base.

The AI Engineer designs and operationalizes intelligent systems for data extraction, collaborates with teams to establish AI standards, and delivers AI-driven solutions to improve business metrics.

Develop and maintain integration projects using Ignition, manage time-series data, create dashboards, and optimize IoT connectivity protocols while adhering to safety and quality standards.

The Data Scientist will design and build machine learning solutions, optimize for business value, and guide customer success through technical expertise and collaboration.

The Staff Software Engineer - Applied AI will develop and integrate AI-powered systems and tools, driving innovation through experimentation and collaboration with cross-functional teams to deliver impactful solutions.

The Senior Product Security Engineer collaborates with product and engineering teams to embed security into the product lifecycle, conducts threat modeling, reviews code, and identifies vulnerabilities.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

As a Senior Data Scientist, you will lead AI risk assessments, coordinate with stakeholders, and ensure effective AI governance practices for safe financial application deployment.

Lead the design and development of machine learning models, collaborating with teams to optimize solutions and mentor junior members while ensuring technical excellence.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.