Staff Machine Learning Engineer, Simulation
Core
Designing and deploying advanced generative ML systems and world models to create high-fidelity synthetic datasets for large-scale simulation of autonomous drone delivery systems.
Role type
Staff Machine Learning Engineer (Simulation)
Builds
Generative pipelines, synthetic datasets, and world models for autonomous vehicle simulation.
Domain
Autonomous drone delivery, robotics, simulation, generative AI.
Deliverable
production ML models
Required skills
Generative AI, predictive world models, 3D world modeling, 3D computer vision, sim-to-real transfer, domain adaptation, VLMs, large-scale training optimization.
Preferred skills
3D reconstruction, rendering techniques (e.g., 3D Gaussian Splatting), autoregressive models, self-supervised learning from multi-modal sensor streams.
Technologies
Diffusion techniques, multimodal models, VLMs, 3D Gaussian Splatting.
Responsibilities
Lead design and deployment of world models for sensor generation; develop generative pipelines for synthetic datasets; partner with research teams to integrate modeling techniques; champion sim-to-real efforts; apply VLMs to enhance simulation understanding; shape AI infrastructure and best practices.
Seniority
Staff, strategic execution & mentorship
