ML Engineer (Data Engine)
Tasks
- Analyze video motion and physical dynamics
- Build and run distributed data processing pipelines
- Build video classifiers for motion shot and quality
- Create multi shot video sequences and captions
- Evaluate audio visual synchronization
- Process and curate large scale unstructured datasets
- Train reward models and classifiers
Perks/Benefits
- Company-provided equipment
- Equity participation
- Meals
- Professional growth
- Relocation support
- Transportation
Skills/Tech-stack
Active Learning | Audio Processing | Audio Visual | Audio visual synchronization | Camera Motion | Camera Motion Estimation | Data Curation | Dataset versioning | Deduplication | Distributed Computing | Embedding Models | Language Models | Motion estimation | Optical Flow | PyTorch | Python | Shot boundary detection | Temporal consistency | Video Classification | Video Processing | Vision Language Models | Vision-language
Education
N/A
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