Xpengmotors
Senior Staff Physical AI Data Algorithm Engineer
Santa Clara, CA · Staff+ · Full-time
Sponsorship not specified$203k-$344kDetected 57 days ago
AlgorithmsMachine LearningResearchCollaboration
About the role
- With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
- Our salary ranges are determined by role, level, and location.
- The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.
Responsibilities
- Design and implement a data lineage tracking system to achieve full-process traceability of data from production, processing to use; establish strict corresponding relationships between data sets, annotation versions, and model versions to support problem attribution and iterative backtracking.
- Deeply participate in the entire process of the model from data preparation, pre-training, fine-tuning, evaluation to on-board deployment and continuous optimization, understand the specific data needs of the model at each stage, and provide targeted data strategy support.
- Infrastructures and computational resources to support your work.
Requirements
- Master's degree or above in Computer Science, Artificial Intelligence, Automation, Vehicle Engineering or related majors, with more than 3 years of work experience in multi-modal physical AI or AI data platform.
- Familiar with the construction and use of data closed-loop toolchains, including data processing, mining, annotation, visualization and other modules, with relevant development or in-depth use experience.
- Have practical experience in the implementation of data lineage and version management, understand the importance of the association between data sets and model versions, and have a sense of data asset management.
- Have research or practical interest in the direction of AI Agent-centric data closed-loop, and have the ability to explore cutting-edge technologies.
Nice to have
- Able to analyze the data needs of the model at different stages, have the ability to define and evaluate high-quality data, and candidates with experience in guiding data production and annotation are preferred.
Compensation
- Competitive compensation package.
Benefits
- Opportunity to work on cutting edge technologies with the top talents in the field.
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