Senior Machine Learning Engineer - Physical AI and Synthetic Data Generation and Evaluation
Tasks
- Apply user controls during data generation
- Architect generative pipelines
- Build automated data quality assurance pipelines
- Design validate KPI metric designs
- Develop image video generation and editing models
- Develop multimodal generation and reasoning models
- Document ML systems
- Establish KPI evaluation benchmarks
- Evaluate behavioral policy quality
- Fine tune large scale models
- Lead large scale synthetic dataset generation
- Optimize ML software performance
- Test ML software
Perks/Benefits
- N/A
Skills/Tech-stack
3D Computer Vision | Autoregressive models | Computer Graphics | Computer Vision | Data Quality | Data quality assurance | Database | Database Management | Deep learning | Diffusion Models | GPU Architecture | Generative AI | Image Generation | Inference Optimization | KPI Measurement | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Multimodal Models | Natural Language | Natural Language Processing | Python | Quality Assurance | Quality metrics | Sensor data | Simulation | Training Optimization | Transformer | Video Generation | Vision Language Models | Vision-language | Workflow Management
Education
Regions
Countries
States
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