Research Engineer - AI Infrastructure
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The role
We are seeking a Research Engineer to design and operate end-to-end AI infrastructure for training, evaluating, and deploying multimodal driving models.
You will architect scalable training and evaluation pipelines that orchestrate massive GPU clusters processing PBs of sensor data.
Build robust benchmarking and continuous evaluation systems to track model progress across diverse real-world driving distributions.
Develop scalable data sampling, dataset creation, and advanced curation techniques leveraging state-of-the-art AI models.
Collaborate with AI research and autonomy teams and work across cloud environments to enable high-throughput distributed training.
Bring full-stack ML experience and strong problem-solving skills, with judgment on when to rely on open-source versus in-house platforms.
You will architect scalable training and evaluation pipelines that orchestrate massive GPU clusters processing PBs of sensor data.
Build robust benchmarking and continuous evaluation systems to track model progress across diverse real-world driving distributions.
Develop scalable data sampling, dataset creation, and advanced curation techniques leveraging state-of-the-art AI models.
Collaborate with AI research and autonomy teams and work across cloud environments to enable high-throughput distributed training.
Bring full-stack ML experience and strong problem-solving skills, with judgment on when to rely on open-source versus in-house platforms.
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