Jobs at Mecka AI

Own and scale Mecka AI’s global supply acquisition engine across referral, community, field, organic, partnership, and paid channels. Manage funnel performance, activation, capacity planning, channel economics, contributor retention, brand strategy, and partner programs. Build portable growth playbooks across markets, hire and lead a growth team, and optimize acquisition quality, speed, volume, and cost across APAC, South America, and North America.

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.

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.

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.

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.