Research Scientist Intern, Data for Embodied AI
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仕事内容
Contribute to the development of large-scale data systems and pipelines that transform raw real-world data into high-quality training datasets.
Work with petabyte-scale video, LiDAR, and telemetry data to enable self-learning AI models.
Collaborate with ML engineers and researchers to design end-to-end data workflows and experimental pipelines.
Advance data-centric AI research by evaluating dataset quality and its impact on model performance.
Build robust, scalable data tools, from data ingestion and batching to caching and orchestration.
Gain hands-on experience bridging research and engineering in a fast-paced, interdisciplinary environment in London.
Work with petabyte-scale video, LiDAR, and telemetry data to enable self-learning AI models.
Collaborate with ML engineers and researchers to design end-to-end data workflows and experimental pipelines.
Advance data-centric AI research by evaluating dataset quality and its impact on model performance.
Build robust, scalable data tools, from data ingestion and batching to caching and orchestration.
Gain hands-on experience bridging research and engineering in a fast-paced, interdisciplinary environment in London.
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