Top Tech Jobs & Startup Jobs

Lead scientific programs for robotics and embodied AI data generation. Develop operating plans, manage scientific partnerships, launch workflows, coordinate equipment and teams, oversee quality, throughput, schedules, and costs, and improve program performance across locations. The role requires hands-on execution, operational decision-making under uncertainty, vendor and logistics coordination, and practical scientific or laboratory fluency.

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.

Develop proprietary foundation models for 3D hand tracking, articulated pose estimation, mesh recovery, and hand-object interaction. Train large-scale vision architectures across multi-GPU clusters using massive egocentric manipulation datasets. Innovate on biomechanically constrained losses, temporal modeling, contact and physics-aware tracking, tactile-visual fusion, and robotics perception pipelines. Rapidly prototype solutions for emerging hardware and embodied AI challenges.

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.

Run paid acquisition campaigns across Meta, TikTok, and Google/YouTube; manage budgets, targeting, bids, creative, landing pages, and tracking. Optimize funnels for activated contributors, monitor acquisition costs and quality, report performance, and recommend budget allocation. Adapt campaigns across international markets and support referral, community, and partnership experiments. The role requires hands-on campaign experience, analytical skills, rapid creative testing, and scrappy growth-building ability.

Build and lead Mecka AI’s business-data acquisition function. Source and close strategic B2B data partnerships, establish outbound sales processes, manage CRM workflows and forecasts, hire and coach GTM and sales staff, negotiate commercial agreements, coordinate Legal and technical reviews, and ensure signed partnerships reach successful data delivery and activation.

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.