Senior ML Data Engineering
Tasks
- Build and improve dataset curation pipeline
- Build dataset SDK and data tooling
- Collaborate with algorithm teams on data gap analysis
- Develop scoring and sampling strategies for balanced datasets
- Implement 3D geometry tooling for camera calibration and transforms
- Measure dataset quality with validation and diagnostics
- Run and optimize GPU inference at scale
Perks/Benefits
- N/A
Skills/Tech-stack
3D Geometry | Active Learning | Apache Airflow | Argo Workflows | Camera Models | Columnar Analytics | Computer Vision | Coordinate transforms | Data Deduplication | Data Pipelines | Data Sampling | DuckDB | GPU Inference | Hard example mining | Image Segmentation | Inference Server | Kubeflow Pipelines | LLM Agents | LanceDB | Language Models | Machine Learning | Model Embeddings | NumPy | Object Detection | Pandas | PyArrow | Python | TensorRT | Triton Inference | Triton Inference Server | VLLM | Vector Databases | Vision Language Models | Vision Model Embeddings | Vision Transformers | Vision-language | Workflow Orchestration
Education
N/A
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