Jobs at Mecka AI

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.

Lead Mecka's enterprise commercial sales: own full sales cycle, close pilots/POCs, build repeatable playbook, hire and develop the sales team, manage strategic accounts and partner relationships, coordinate deployments with operations and engineering, and drive renewals and multi-site expansions.

Lead large-scale video representation and video-language model research and training on egocentric/stereo robotics data, run self-supervised and multimodal pretraining, produce reproducible checkpoints and embeddings for production, and build rigorous training/eval workflows.

Lead development of simulation environments, retarget human demonstrations to robot trajectories, train and evaluate policies using imitation learning and RL, and drive sim-to-real transfer with metrics and domain-randomization methods.

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 AI's growth function end-to-end: own paid acquisition, inbound demand generation, PR, content, and funnel optimization. Build campaigns, optimize conversion funnels, track metrics and ROI, partner with sales/product, and scale narrative and pipeline globally.

Define and execute Mecka AI's content strategy to explain technical work in robotics and embodied AI. Translate complex technical concepts into clear narratives across website, blog, campaigns, and recruiting; own content roadmap, messaging, long-form pieces, and distribution while partnering with leadership and engineering/research teams.

Define and own dataset quality standards for robotics training data: labeling rubrics, ontologies, schemas, sampling, and acceptance criteria. Translate model needs into precise specs, build golden datasets and calibration tasks, iterate standards from model-failure signals, and partner with engineering to enable automated validation and enforceable standards across customer programs.

Lead global hiring and performance systems for operator-level teams. Build regional recruiting pipelines, design interview and assessment processes, implement performance management, define KPIs and incentive structures, manage compensation frameworks, maintain dashboards and reporting, and partner with regional leads to staff, train, and optimize operational teams.

Build and optimize high-scale, compute-heavy mobile recording systems for iOS and Android. Own performance, reliability, long-running capture workflows, custom Android hardware-adjacent systems, and production monitoring, testing, and debugging for field deployments.

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.

Lead end-to-end scientific data acquisition programs for AI labs: scope projects with customers, recruit and manage scientific experts, design protocols and QA, monitor metrics, and deliver production datasets. Drive repeatable playbooks, vendor coordination, and cross-functional execution to ensure trusted, model-useful data at scale.

Lead reliability and test execution for body-worn devices: design and run environmental and mechanical tests (drop/thermal/cycling/vibration/ingress/HALT-HASS), stand up production functional and calibration test gates, perform failure analysis and root-cause, close the loop into design and supplier quality, and define reliability metrics to drive improvement.

Lead end-to-end hardware and manufacturing data acquisition programs: scope customer needs, recruit and manage hardware experts, design collection workflows, own QA and delivery, build repeatable playbooks, and scale programs across manufacturing and robotics domains.

Lead and own firmware and edge platform architecture for a wearable capture device. Drive firmware-hardware-silicon interfaces, power/thermal and data integrity, OTA reliability, testing/diagnostics strategy, post-mortems, and grow/mentor the embedded team while coordinating with factory and cross-functional partners.

Own on-site firmware bring-up, flashing/provisioning, and manufacturing test execution at the production line in China. Implement Canada-defined embedded test strategy, operate host-side test software and calibration stations, debug yield and intermittent production issues, and serve as the technical embedded liaison with contract manufacturers and suppliers.

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.

Lead end-to-end hardware and manufacturing data acquisition programs: scope customer needs, recruit and manage hardware experts, design collection workflows, ensure quality through metrics and review loops, coordinate cross-functional execution, and scale pilots into repeatable playbooks for robotics and manufacturing datasets.