Top Research Jobs in Toronto

Develop proprietary foundation models for 3D human pose estimation, body mesh recovery, articulated tracking, and human-scene interaction. Responsibilities include designing novel architectures and loss functions, scaling distributed training across multi-GPU clusters, curating massive image and video datasets, and modeling occlusion, motion, contact, and physical constraints. The role also addresses emerging perception challenges for embodied AI and humanoid robotics.

Lead the technical direction and hands-on development of ML and operations research systems powering delivery dispatch. Build pricing, quote selection, forecasting, routing, batching, fleet recommendation, LLM, optimization, evaluation, and MLOps capabilities. Translate operational constraints into reliable models and solver formulations, establish production ML standards, and mentor engineers. The role partners with Product and leadership to deliver measurable improvements in revenue, margin, utilization, conversion, and delivery reliability.

Lead development of scalable molecular dynamics pipelines, integrating physics-based models with machine learning frameworks to enhance molecular engineering and experimentations.

Provides technical support for process development experiments, including milling, formulation sample preparation, particle-size and viscosity analysis, data collection, calculations, laboratory documentation, equipment maintenance, and SOP adherence. The role supports scientists, helps develop or improve methods, trains co-op students, handles laboratory samples, maintains cleanliness and safety, and completes assigned work within project timelines.

Conducts remote and onsite clinical trial monitoring visits, including qualification, initiation, interim, and close-out visits. Ensures protocol, ICH GCP, FDA, regulatory, and sponsor SOP compliance; reviews source documents, CRF data, regulatory binders, and trial documentation. Manages site issues, adverse event reporting, investigational product accountability, recruitment oversight, audit preparation, and monitoring reports. Collaborates with sponsors, sites, CRAs, project managers, data management, and cross-functional teams while mentoring CRAs and supporting CTMS activities.

Conducts remote and onsite clinical trial monitoring visits, including site qualification, initiation, interim, and close-out visits. Ensures protocol, ICH GCP, FDA, and SOP compliance; verifies source data, manages regulatory documentation, tracks investigational products, supports adverse-event reporting, and resolves site issues. The role also assists with monitoring plans, budgets, training, audits, sponsor communication, CTMS activities, CRA mentoring, and cross-functional coordination.

Leads complex quantitative research and advisory engagements, translating client business challenges into hypotheses, rigorous methodologies, advanced analyses, and strategic recommendations. Serves as a senior client advisor, presents executive-level findings, supports business development, builds thought leadership, and manages and mentors research teams. Applies techniques including segmentation, modeling, forecasting, and statistical analysis across public affairs and online community research.

Lead the design and deployment of large-scale bioinformatics and omics pipelines spanning genomics, transcriptomics, and proteomics. Integrate multimodal biological data with machine learning, develop reproducible analysis frameworks, benchmark predictive models, and collaborate with wet-lab scientists to guide molecular engineering and experimental campaigns. Contribute novel computational biology algorithms, research roadmaps, and scientific leadership.

Leads Kinaxis’s Advanced Mathematical Modelling function, managing architects, algorithm developers, and operations research specialists. Provides technical and strategic leadership across optimization, machine learning, simulation, decision science, and algorithm development. Partners with Product Management, Engineering, and customer teams to solve supply chain challenges, guides research and prototyping, shapes platform architecture, and promotes scalable production solutions. Oversees talent acquisition, coaching, workforce planning, performance management, and career development while establishing the function’s vision and operating model.

Conduct executive, industry, market, and company research to support leadership searches. Identify qualified executives, analyze competitive landscapes using LLMs, design AI prompts, develop research strategies and reports, maintain candidate and company database quality, and provide strategic insights across industries. The role requires managing multiple projects, synthesizing ambiguous information, collaborating with search professionals, and communicating findings clearly.

Build and manage relationships with investment banks, equity research analysts, institutional investors, and other capital markets participants. Develop analyst engagement programs, track sector research, provide market intelligence, and position Higgsfield as a trusted source on Creative AI. Partner with leadership, communications, and finance to develop market frameworks, investment theses, and executive narratives that generate measurable research and investor outcomes.

Performs routine and complex analytical testing of pharmaceutical and biopharmaceutical products and raw materials using LCMS, LC-MS, and ICP instrumentation. Responsibilities include method verification, validation and transfer, equipment calibration, protocol and report preparation, cGMP-compliant testing, documentation, laboratory information system updates, and investigation support. The role also requires planning daily workflows, maintaining records, resolving technical issues, and coordinating multiple projects with limited supervision.

Designs benchmarks, reinforcement learning environments, evaluation methodologies, scoring frameworks, and reproducible evaluation architectures for frontier models. Builds and ships production code, maintains data pipelines, analyzes results, and collaborates with research scientists, solutions architects, and ML engineers. The role combines independent research methodology with hands-on engineering across agentic systems, model evaluation, and RL infrastructure.

Develop computer vision and vision-language models for image and video understanding in restaurant environments. Build datasets, training strategies, evaluations, and benchmarks; diagnose model failures; and deploy efficient, reliable inference pipelines. The role combines research and engineering across scene understanding, object tracking, activity recognition, temporal reasoning, visual grounding, and multimodal models, while partnering with product and infrastructure teams to bring research into production.

Conduct qualitative and quantitative UX research for Lyft drivers and riders using interviews, usability testing, field research, surveys, diary studies, and other methods. Analyze research data, develop actionable insights, and communicate recommendations that guide product and design improvements. Collaborate with Design, Product Management, Analytics, Engineering, and senior researchers while gaining mentorship and contributing to user-facing products.

Leads immunology clinical research from target prioritization and preclinical translation through first-in-disease programs. Partners with discovery, translational medicine, clinical development, and business development teams to evaluate assets, shape clinical strategies, design early-phase studies, define biomarkers and patient populations, and support go/no-go decisions. Serves as a hands-on clinical subject matter expert in autoimmune and inflammatory diseases, representing the organization with scientific leaders, investigators, regulators, and internal stakeholders.

Develop signal processing algorithms for camera, LiDAR, radar, and other autonomous-driving sensor data. Design acquisition, fusion, filtering, and learning-based methods; optimize them for CPU, GPU, DSP, and specialized accelerators; and collaborate with autonomy and hardware teams to deliver reliable, low-latency production systems. The role also supports experimental validation and potential research publications.

Leads eBay’s enterprise UX research systems and operations strategy. Owns modernization of participant recruitment, panel management, incentives, compliance, research tooling, knowledge management, and operational infrastructure. Drives AI-enabled automation, self-service research, data quality, governance, and scalable customer insight capabilities. Builds and leads teams, develops multi-year transformation roadmaps, secures executive alignment and investment, and partners across Design, Product, Engineering, Legal, Privacy, Procurement, and Insights.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Coordinate intake, documentation, and tracking of software and AI tool requests. Gather requirements, triage basic research, capture meeting notes and action items, maintain inventories, and partner with IT, security, and stakeholders to escalate risks and drive decisions.

Conduct original research on reliable agentic AI, developing methods for simulation, evaluation, optimization, regression control, and continuous learning. Analyze agent failures, traces, and human feedback; create experiments and prototypes; and translate research into production-facing systems. Collaborate with product and engineering teams, contribute to technical strategy, and provide rigorous experimental evidence. The role requires strong research depth, publication or open-source contributions, hands-on Python development, and expertise in LLM agents or agentic systems.

Build infrastructure and software for training, deploying, scaling, monitoring, and operating machine-learning models and optimization algorithms for supply-chain applications. Responsibilities include translating supply-chain use cases into mathematical models, developing ML and optimization systems in C++ and Python, designing automated testing strategies, and supporting cloud or containerized workloads. The role also involves research into heuristics, optimization, GPU computing, MLOps, and AI-assisted software development.

Develop and optimize supply-chain algorithms by translating real-world problems into mathematical models. Lead C++ implementation, investigate heuristics and optimization techniques, and create comprehensive functional, regression, performance, unit, and integration tests. Collaborate with agile teams and stakeholders while improving software quality, development speed, and platform capabilities. Experience with commercial mathematical solvers, data structures, algorithms, and AI-assisted development is valued.

Leads research operations, clinical trials, governance, ethics and regulatory processes, quality assurance, budgets, contracts, compliance, and performance reporting. Develops sustainable research infrastructure, expands clinical trial access, and builds partnerships with investigators, academic institutions, sponsors, industry partners, and research networks. Oversees strategic planning, multi-site initiatives, operational policies, and research performance while representing the organization in external collaborations.

Research Engineer developing and extending algorithms for large-scale unsupervised learning and perception problems. Responsibilities include maintaining deep learning experimentation tools, researching novel AI approaches, and deploying algorithms to internal and customer autonomous vehicle platforms. The role requires collaboration with software and autonomous vehicle engineers, rapid experimentation, and practical delivery of customer projects.