Description
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Identify edge cases in autonomous driving functionality that may affect safety or comfort by analyzing massive dataset collected from the field.
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Resolve edge cases with creative methods by leveraging in-house toolchains and working closely with Machine Learning Engineers & Annotation Team.
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Monitor key efficiency metrics in edge case resolving process, analyze root causes of changes and provide constructive ways to improve the process
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Build and maintain scalable data lake and data warehouse infrastructure, including data ingestion, storage, processing, and analytics pipelines.
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Manage data quality, schemas, metadata, access controls, and system performance to ensure reliable and efficient use of large-scale autonomous driving data.
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BS in Computer Science, or related fields (or relevant experience).
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3 + years industrial experience in the related field.
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Proficient in both written and spoken English and Mandarin.
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Passionate about autonomous driving technology.
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Familiar with SQL and some prior experience with Python.
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Experience with data lakes, data warehouses, ETL/ELT pipelines, distributed data processing, or cloud-based storage systems.
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Familiarity with data modeling, schema design, data quality management, and workflow orchestration.
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Strong communication skills.
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Result-driven & can-do attitude.
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A fun, supportive and engaging environment.
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Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving.
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Opportunity to work on cutting edge technologies with the top talent in the field.
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Competitive compensation package.
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Snacks, lunches and fun activities.
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