Senior Machine Learning Engineer, Data for Embodied AI
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Le poste
Lead the design, construction, and scaling of large-scale multimodal data pipelines (video, LiDAR, telemetry) used to train cutting-edge embodied AI models.
Own data quality metrics, validation, debugging, and experimentation to directly improve model performance.
Develop end-to-end ingestion, preprocessing, filtering, annotation, and storage workflows across modalities to enable high-throughput training.
Collaborate with ML researchers and platform engineers to ensure datasets fit research needs and integrate into training workflows.
Build internal tools for dataset auditing, visualization, versioning, governance, and reproducibility, while upholding data safety and privacy standards.
Operate in a fast-paced, collaborative environment, turning raw experience into high-quality, scalable datasets that accelerate autonomous system development.
Own data quality metrics, validation, debugging, and experimentation to directly improve model performance.
Develop end-to-end ingestion, preprocessing, filtering, annotation, and storage workflows across modalities to enable high-throughput training.
Collaborate with ML researchers and platform engineers to ensure datasets fit research needs and integrate into training workflows.
Build internal tools for dataset auditing, visualization, versioning, governance, and reproducibility, while upholding data safety and privacy standards.
Operate in a fast-paced, collaborative environment, turning raw experience into high-quality, scalable datasets that accelerate autonomous system development.
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