Machine Learning Engineer (Singapore)
Tasks
- Analyze dataset composition and improve curation logic
- Build VLM based captioning and metadata generation workflows
- Build and scale distributed data pipelines for preprocessing
- Build deduplication pipelines for large video corpora
- Define best practices for dataset versioning and access patterns
- Design curation pipelines for video and image selection
- Develop quality and aesthetic scoring models
- Implement containerized pipeline infrastructure
- Optimize cloud data storage and movement
- Own workflow orchestration for large scale data processing jobs
Perks/Benefits
- Equipment provided
- Equipment stipend
- Global travel insurance
- Health insurance
- Paid Holidays
- Paid time off
Skills/Tech-stack
AWS | Airflow | Azure | CLIP | Cloud Storage | Data version control | Decord | Docker | Embeddings | FFmpeg | Google Cloud | Google Cloud Storage | Kubernetes | NVIDIA DALI | OpenCV | PyAV | PySpark | PyTorch | PyTorchVideo | Python | Ray | TorchAudio | Torchvision | Version control | Workflow Orchestration
Education
N/A
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