Top Tech Jobs & Startup Jobs in Toronto

Own production online camera calibration, SLAM/VIO systems, and fleet-wide calibration drift monitoring for robotics devices. Develop video-based calibration refinement, maintain calibration databases and version history, coordinate with hardware teams on sensor parameters and synchronization, and build visualization tools for operations and research. The role requires extensive experience with SLAM, VIO, SfM, multi-sensor calibration, optimization, and scalable C++ and Python engineering. It is on-site with periodic travel to a hardware site.

Develop and own classical computer vision systems for 3D hand reconstruction, including multi-view geometry, camera calibration, temporal filtering, inverse kinematics, and physical constraints. Convert model predictions into clean, validated spatial data and maintain scalable delivery pipelines. Build QA metrics, visualizers, dashboards, and failure-analysis tools while partnering with research teams on robotics and embodied AI applications.

Develop generative and physics-based models to infer full-body human motion from egocentric and partial observations. Train motion priors, enforce physical consistency, estimate contacts and ground planes, and deliver MHR/SOMA-X outputs for production robotics pipelines. Define evaluation metrics, commission motion-capture and sensor data, implement research code, and publish results.

Research and develop neural 3D reconstruction models that recover geometry, pose, deformability, and physical properties of manipulated objects from monocular egocentric video. Build generative refinement, contact-aware reconstruction, and simulatable-object prototypes using deep learning, 3D geometry, and differentiable rendering. Define research direction, evaluate challenging real-world data, prototype in Python and PyTorch, and hand successful methods to an integrations researcher for productionization.

Designs, operates, and scales Mecka AI’s AWS infrastructure for global data ingestion and customer delivery. Responsibilities include AWS networking, petabyte-scale S3 storage, IAM, infrastructure as code with Terraform, CI/CD, monitoring, incident response, cost optimization, reliability improvements, and mentoring. The role also supports high-throughput data transfer, hybrid connectivity, and infrastructure security for robotics and embodied AI workloads.

Build and operate payments and revenue infrastructure, including global payouts, payment-provider integrations, reconciliation, invoicing, billing, revenue recognition, and finance tooling. Develop reliable backend and distributed systems with strong transaction integrity, idempotency, observability, auditability, and failure recovery. Partner with finance and operations to automate manual workflows and support financial data movement across currencies, entities, providers, and banking rails.

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.

Owns end-to-end payroll and benefits operations for employees in Canada and the United States. Responsibilities include multi-jurisdiction payroll, tax filings, benefits administration, vendor and broker management, reconciliations, HRIS and finance-system data accuracy, employee support, compliance, controls, reporting, and scalable process improvement for future international expansion.

Conduct outbound prospecting to identify and engage potential data partners. Research target accounts and decision-makers, personalize outreach, qualify partnership opportunities, and create substantive handoffs for the Data Partnerships Lead or Account Executive. Maintain accurate CRM records, follow up consistently, surface data rights and delivery considerations, and improve targeting and messaging based on feedback, response patterns, and objections.

Leads global sales operations and analytics, including performance dashboards, quota and incentive design, market sizing, target account planning, CRM governance, resource allocation, and executive business reviews. Partners with Finance, HR, and field acquisition teams to improve pipeline performance, data quality, commissions, and expansion-market execution.