Senior Machine Learning Engineer - Physical AI and Synthetic Data Generation
Core
Architecting generative pipelines and multimodal models to create high-fidelity synthetic datasets for Physical AI applications and future autonomous vehicles.
Role type
Senior Machine Learning Engineer (Physical AI / Synthetic Data)
Builds
High-fidelity synthetic image/video datasets, generative pipelines, and validation tools for AI agents.
Domain
Physical AI, Computer Graphics, Autonomous Vehicles
Deliverable
production ML models
Required skills
Image/video synthesis, diffusion models, multimodal models (VLMs, MLLMs), transformer architectures, DNN libraries, Python, computer vision algorithms, data engineering, performance optimization, KPI evaluation, systematic validation
Preferred skills
GPU architecture knowledge, simulation platforms, 3D sensor modalities (Camera, Lidar, Radar), open source software
Technologies
Python, diffusion models, VLMs, MLLMs, transformer architectures, auto-regressive models, classical computer vision algorithms
Responsibilities
Develop and implement advanced image and video generation/editing/reasoning models; Build and fine-tune large-scale multimodal models; Apply user controls for precise environmental and structural control over generated data; Establish KPI evaluation and validation for synthetic data quality; Build automated data QA pipelines; Lead generation of massive training datasets using synthetic data mining techniques; Contribute to full lifecycle of ML software including optimization and testing
Seniority
Senior, hands-on IC
