Senior AI Engineer — Spatial Intelligence, Segmentation & 3D

Career Genie, Inc; Lisboa; On-site; EUR 45,000 - 70,000; Full time

Benefits offered by this job

Relocation support

Housing assistance

Job summary

Career Genie, Inc in Lisboa seeks an experienced engineer to focus on building foundational perception technology for a robotics platform. You will develop spatial and 3D models, contributing directly to the product's architecture and functionality.

The ideal candidate has over 5 years of experience in ML/AI or computer vision, strong 3D geometry foundations, and proficiency in PyTorch. Join a hands-on, mission-driven team offering relocation support and housing assistance.

Qualifications

• 5+ years experience in ML/AI or computer vision focusing on spatial models.
• Strong foundations in 3D geometry, including projection models and camera calibration.
• Ability to develop segmentation models for real-world conditions.

Responsibilities

• Build spatial and 3D perception models for robot environments.
• Develop and adapt segmentation models for robot perception.
• Connect spatial understanding outputs to mobile navigation systems.

Skills

ML/AI or computer vision experience

Strong 3D geometry foundations

Strong PyTorch skills

Experience with SAM-family models

Job description

• Help build foundational perception technology for a robotics platform designed for real-world impact across multiple industries.
• Work on deeply technical problems at the frontier of AI, computer vision, 3D understanding, and embodied intelligence.
• Join a small, senior, hands-on team where ownership is real and your work will directly shape the product and platform.
• Contribute to a company building both the intelligence layer and the robotic systems needed to bring autonomy into production.
• Be part of a mission-driven environment where practical deployment, fast learning, and long‑term technical ambition go hand in hand.

LOCATION

ABOUT DATAMENTORS

Datamentors is a robotics start‑up building an agnostic orchestration platform and a family of proprietary robots — quadruped, mobile upper‑body and humanoid — assembled at our own factory in Caniçal, Madeira. We also develop custom Vision‑Language‑Action (VLA) models that give our robots natural‑language reasoning and autonomy, deployable across sectors from hospitality and healthcare to defence and logistics. With prototypes running and a clear path to 600 units per year, the engineers joining now will shape both the hardware and the intelligence behind Ardia for years to come.

ROLE OVERVIEW

Focus on the spatial perception layer of the platform — the models that give robots a geometric understanding of the world across all robot types and sectors. You build spatial models, segmentation systems and 3D representations that connect scene understanding directly to manipulation planning and navigation.

WHAT YOU'LL DO

• Build spatial and 3D perception models: reconstruction, depth estimation and scene understanding for real robot environments across sectors
• Develop and adapt segmentation models (SAM and successors) for robot perception under real‑world conditions
• Build 3D representations — point clouds, NeRF/Gaussian splatting, occupancy — connected to manipulation and navigation
• Connect spatial understanding outputs to manipulation planning and mobile navigation stacks
• Own evaluation and benchmarking of spatial perception on real robots across deployment verticals

WHAT WE'RE LOOKING FOR

• 5+ years ML/AI or computer vision with depth in spatial models, segmentation or 3D deep learning
• Strong 3D geometry foundations: projection models, camera calibration and coordinate transforms
• Experience with SAM‑family models and 3D representations — trade‑offs and failure modes, not just API usage
• Strong PyTorch; comfortable with both research‑quality and production‑quality model code
• Experience integrating perception outputs into downstream robot tasks

Nice to have

• NeRF / 3DGS implementation experience beyond library wrappers
• Depth sensor calibration and integration (RealSense, Orbbec, Livox)

WHY JOIN US

• This is a rare opportunity to help design and build the foundational technology for a robotics platform from the ground up
• Relocation support and housing assistance for Madeira‑based roles; CINM free‑zone benefits
• Small, senior, hands‑on team — everyone owns a meaningful slice of the product from day one