Senior Machine Learning Engineer, Driver Understanding and Evaluation
Tasks
- Apply Vision Language Models for semantic understanding
- Apply model distillation and quantization techniques
- Architect ML pipelines for training evaluating deploying models
- Build scalable video generation techniques for simulation environments
- Develop generative systems for sensor and semantics generation
- Develop simulation workflow and insight tools
- Enhance controllability of world simulation products
- Generate training and evaluation data for driving metrics and components
- Lead 4D world model design development deployment
- Mentor engineers and provide technical guidance
- Train and deploy large scale generative models in simulation infrastructure
- Use diffusion models for video generation
- Use flow matching for video generation
Perks/Benefits
- N/A
Skills/Tech-stack
3D Computer Vision | 3D Gaussian Splatting | 3D Reconstruction | C++ | Computer Vision | Diffusion Models | Flax | Flow matching | GPU | Gaussian Splatting | JAX | Language Models | Model Distillation | PyTorch | Python | Quantization | Simulation | TPU | TensorFlow | Video Generation | Vision Language Models | Vision-language
Education
Regions
Countries
States
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