Senior ML Engineer: Production 3D Reconstruction for Autonomy

Applied Intuition; Sunnyvale (CA); Vor Ort; USD 180.000 - 240.000; Vollzeit

Zusammenfassung

Applied Intuition in Sunnyvale is seeking a senior ML engineer to advance the reconstruction tech behind Neural Simulation. You will transform real driving data into photorealistic environments used to train, test, and validate autonomy systems.

You will productionize Gaussian splatting, NeRFs, and feed-forward reconstruction, while supporting camera and LiDAR rendering for autonomy simulation workflows and collaborating with multiple teams to raise simulation fidelity.

Qualifikationen

• Strong background in 3D computer vision, graphics, machine learning, or neural rendering
• Experience moving research methods into production systems
• Ability to reason about reconstruction quality, throughput, and customer-facing simulation needs
• Interest in physical AI, autonomy validation, and large-scale fleet-data pipelines

Aufgaben

• Improve learning-based reconstruction methods for large, dynamic driving scenes
• Productionize techniques such as Gaussian splatting, NeRFs, and feed-forward reconstruction
• Support camera and LiDAR rendering for autonomy simulation workflows
• Build evaluation metrics for reconstruction fidelity and sim-to-real gap
• Collaborate with autonomy, infrastructure, research, and product teams on end-to-end simulation quality

Kenntnisse

3D computer vision

Neural rendering

Production engineering

Autonomy simulation

Tools

Gaussian splatting

NeRFs

LiDAR rendering

Camera rendering

Jobbeschreibung

Applied Intuition in Sunnyvale is seeking a senior ML engineer to advance the reconstruction tech behind Neural Simulation. You will transform real driving data into photorealistic environments used to train, test, and validate autonomy systems.

You will productionize Gaussian splatting, NeRFs, and feed-forward reconstruction, while supporting camera and LiDAR rendering for autonomy simulation workflows and collaborating with multiple teams to raise simulation fidelity.