Jobs at Mecka AI

Build and maintain an internal computer vision annotation platform, including interactive workflows, dashboards, data pipelines, and quality measurement tools. Develop customer-facing ML services for PII blurring and model-assisted labeling. Deploy and optimize detection and segmentation models using PyTorch, TensorRT, and ONNX, and expose them through high-performance concurrent APIs. The role requires strong frontend engineering, production Python, applied ML deployment, video processing, and human-in-the-loop workflow expertise.

Lead and scale end-to-end data annotation operations: set quality standards, build and manage an in-house annotation team and vendors, translate research into annotation guidelines, implement QA systems, drive AI-assisted labeling, partner with ML/CV and product, and own metrics and reporting.

Design and train state-of-the-art 3D hand pose, dense mesh, and articulation models from scratch. Scale multi-view and temporal architectures on multi-GPU clusters, innovate losses enforcing biomechanics and temporal/physical plausibility, and build robust egocentric hand-object interaction models. Rapidly prototype solutions for tactile-visual fusion, action segmentation, and sensor integration, and integrate tracking outputs into physics-aware pipelines for downstream robotic control.

Own, maintain, and improve SLAM, VIO, and SfM pipelines; perform rigorous multi-camera and IMU calibration; ensure cross-device spatial computing robustness; build debugging and visualization tools for images, point clouds, and trajectories; support company-wide computer vision, data validation, and labeling workflows; collaborate closely with hardware teams for sensor calibration and on-site testing.

Provide high-touch executive support and run day-to-day NYC office operations. Manage calendars, travel, vendor relationships, events, and operational systems. Support business development with research, outreach coordination, and materials. Coordinate across teams, onboard local hires, track action items, and solve operational blockers.

Lead end-to-end product development for robotics data infrastructure: turn ambiguous problems into shipped full‑stack products, focus on UX and reliability, define success metrics and instrumentation, and iterate to scale production systems.

Lead Mecka's legal and compliance functions across privacy, commercial contracting, employment, outside counsel management, and AI/robotics regulatory risk across Canada, the US, and China. Build privacy and data-governance programs, draft and negotiate data licensing and deployment agreements, establish employment and contractor templates, run legal operations and counsel relationships, and provide board-ready risk reporting to enable secure, scalable deployments and revenue growth.

Build performant web viewers/players and SDKs for egocentric robotics data. Design multi-stream playback, timeline scrubbing, sync, and APIs; own interface contracts across hardware, data, and consumers; provide tooling and reference implementations for internal and external developers.

Provide on-site technical ownership for robot deployments: setup, calibration, troubleshooting hardware/software/networking, lead high-quality data capture, support teleoperation workflows, coordinate with remote teams, document issues and improve field processes.

Design and operate backend systems that ingest, process, store, and serve petabyte-scale video and sensor data. Build high-throughput upload/ingest, processing, indexing, retrieval, and access-control services. Own service quality, latency, uptime, capacity planning, cost, observability, and incident response. Coordinate distributed compute across cloud infrastructure and large GPU fleets to make data movement reliable and performant.

Own high-priority projects end-to-end across data labeling, data capture, and customer deployments. Scope requirements, drive cross-functional execution with engineering and operations, monitor throughput and SLAs, identify bottlenecks, and manage stakeholder communication to ensure on-time, high-quality, and scalable delivery.

Owner of hardware operations for cameras, sensors, and data-capture systems: manage production with Chinese manufacturers, coordinate global logistics and customs, negotiate and manage suppliers, ensure deployment readiness, and build processes for inventory, tracking, and shipping while working closely with engineering and field teams to resolve production issues and optimize cost and timelines.

Lead the end-to-end tactile glove program from concept to volume: define product requirements and roadmap, drive design and sensor quality, manage suppliers and manufacturing ramp (EVT/DVT/PVT), establish production test/QA and calibration, and coordinate pilot deployments to validate field reliability and data quality.

Design, implement, and train state-of-the-art 3D reconstruction and egocentric optical flow models from scratch. Scale multi-view architectures across multi-GPU clusters, innovate losses/architectures, prototype perception solutions, integrate neural rendering (NeRF, Gaussian Splatting), and produce motion-aware outputs for downstream robotics.