Top Research Jobs in Toronto

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

The role involves designing AI models and training methods leveraging wafer-scale hardware and collaborating with various teams and partners in AI and computational science.

Develop and deploy deep learning models across vision, language, audio, and multimodal domains; build end-to-end workflows from data curation to on-device or cloud deployment; prototype and integrate generative and foundation-model research into product features; collaborate cross-functionally and publish or patent innovations.

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.

Leads Tiny Health’s clinical research strategy, infrastructure, and study execution for microbiome-based testing and health insights. Designs observational, interventional, and real-world evidence studies; oversees protocols, statistical analysis plans, data collection, budgets, timelines, risk, and regulatory documentation. Partners with scientific, engineering, product, marketing, and external research teams to support rigorous analysis, regulatory strategy, product claims, publications, and scientific communications.

Lead client relationships and oversee operational and financial portfolio for connected devices in clinical research. Support department strategy, ensure FDA/ICH GCP compliance, manage SOPs and quality control, conduct capacity planning, assist RFP/RFI responses, oversee forecasting and backlog, mentor new hires, and drive process improvement initiatives to ensure high-quality delivery.

Manages clinical research projects from initiation through closeout, coordinating sponsors, vendors, sites, and internal teams. Oversees budgets, timelines, site activation, recruitment, regulatory submissions, essential documents, training, monitoring support, data review, risk management, and study deliverables. Ensures compliance with SOPs, GCP, ICH standards, and applicable FDA and Canadian regulations while supporting quality and inspection readiness.

Bridge frontier multimodal research and product by shaping research priorities, interpreting evaluations, building prototypes, and defining research-to-product handoffs across Canvas, Agents, and the model platform to deliver enterprise-facing features.

Work across modeling, data, systems, and evaluation to make video foundation models expressive, controllable, and personalized. Build adaptation and personalization pipelines, define end-user quality metrics and evaluations, and collaborate with product and design to deploy production-ready model variants for creative partners.

Lead applied research on continual learning, fast adaptation, memory, and transfer learning for agentic systems. Own end-to-end pipeline from data generation to evaluation and product integration, run experiments, produce code, and drive research strategy while mentoring and managing a small team.

Design and optimize high-performance kernels and custom operators for attention, MoE, GEMM, quantization and collective communication across NVIDIA, AMD and AWS Trainium. Improve LLM inference runtimes, develop distributed training/inference solutions at scale, use compilers and SDKs (Neuron, Torch Dynamo, PyTorch/XLA), contribute to open-source, and publish technical findings.

The Forward Deployed Research Scientist engages directly with AI labs to develop data strategies, fine-tune models, run experiments, and collaborate on publishing research, all in a fast-paced client-focused setting.

Oversee and monitor clinical trial sites to ensure GCP and protocol compliance, conduct site visits, resolve issues, ensure data integrity, train site staff and CRAs, collaborate with cross-functional teams, and maintain stakeholder relationships to support trial execution.

Edit long- and short-form video content for YouTube and social platforms, adding motion graphics, captions, lower thirds, audio adjustments, color grading, and transitions. Organize assets and versions, collaborate with producers and designers, incorporate feedback, meet platform specifications, and deliver files in required formats and aspect ratios. The role also requires creative storytelling, quality assurance, deadline management, and submission of a video reel and editing sample.

Leads end-to-end delivery across nine concurrent media production workstreams, managing schedules, task tracking, vendors, budgets, reporting, risks, dependencies, and cross-functional handoffs. The role coordinates creative, technical, marketing, scholarly, and external production teams while maintaining production workflows and documentation. It also builds the studio’s reusable production playbook, improves operational processes, and supports timely launches across weekly programming, limited series, and short-form content.

The Research Engineer will design and build evaluation systems to measure data quality for Firecrawl's web data extraction, creating metrics and benchmarks, and collaborating on model improvements.

Lead cross-functional global project teams for dermatology clinical programs, ensuring milestone delivery, budget and scope adherence, compliance with processes, client liaison and meeting leadership, support proposal/business development, and cultivate client relationships to drive future business.

As a Research Engineer, you will develop algorithms for world models focusing on generative and predictive modeling within complex environments, optimizing model deployment, and collaborating with research teams.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

Research Scientists at Waabi will lead AI projects to develop algorithms for self-driving technology, collaborate on solution deployment, and publish research at conferences.

Design and implement portfolio-construction and trade-execution models, focusing on optimization, risk modeling, tax-aware execution, and backtesting. Translate research into production-quality systems, collaborate with investment and engineering teams, validate strategies against historical data, and maintain robust, scalable services for managing client portfolios.

The Software Developer will design optimization software, develop features, analyze algorithms, and collaborate with R&D teams to enhance product quality.

Manage clinical trial operations from startup to closeout including site management, SIV/IMV/closeout visits, TMF maintenance, source data review/verification, safety reporting, site training, data and quality oversight, risk identification/mitigation, and regulatory/GCP compliance. Engage sites, review contracts/budgets/ethics submissions, and drive process improvements to ensure inspection-ready documentation and trial integrity.

Join a security research team to develop analysis tools, review sandbox/VM and network modules, discover vulnerabilities and create PoC exploits for distributed systems, and publish findings. Research areas include malware analysis, vulnerability detection, network anomaly detection, mobile app analysis, reverse engineering, and fraud detection.

Design, build, test, and deliver scalable machine-learning and NLP systems and large-scale data pipelines. Integrate ML models into production, write maintainable tested code, collaborate cross-functionally, and drive research-to-product development in an agile environment.