Senior Machine Learning Engineer - Physical AI and Synthetic Data Generation and Evaluation
Tasks
- Apply diffusion based synthesis
- Architect generative pipelines
- Build automated data quality assurance pipelines
- Build multimodal VLM and MLLM systems
- Design and benchmark evaluation datasets
- Develop image and video generation models
- Document machine learning systems
- Fine tune large scale multimodal models
- Implement controllable data generation
- Lead large scale synthetic dataset generation
- Optimize machine learning code performance
- Test machine learning software
- Validate synthetic data with KPI metrics
Perks/Benefits
- N/A
Skills/Tech-stack
3D Sensor Modalities | 3D data | Auto-regressive models | Computer Vision | Data Quality | Data quality assurance | Database | Deep learning | Diffusion Models | Ego Policy | GPU Architecture | Image Generation | KPI evaluation | Language Models | Large Language Models | Machine Learning | Multimodal Learning | Python | Quality Assurance | Robotics | Sensor Modalities | Sensor data | Simulation | Transformer | Video Generation | Vision Language Models | Vision-language
Education
Regions
Countries
States
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