AI Data Platform Engineer
MiniMax Group Inc.Visit MiniMax Group Inc. website
Active AI foundation-model company offering multimodal models, consumer AI products, and an enterprise/developer API platform.
Shanghai, China
Funding history
About MiniMax Group Inc.
MiniMax develops proprietary multimodal foundation models spanning language, video, speech, and music, and operates AI-native products including MiniMax Agent, MiniMax Design, MiniMax Audio, Talkie, Hailuo AI, and an Open Platform.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build data-asset management and delivery capabilities for pretraining data. You will create catalog, search, access-control, quality, API, SDK, and self-service tools that make data discoverable, traceable, reusable, and reliable throughout its lifecycle.
Requirements
- Proficiency in Python for data analysis, algorithm implementation, and engineering development
- Strong foundation in data algorithms or large-scale data engineering
- Experience developing, running, and debugging large-scale data-processing tasks
- Knowledge of data quality assessment using statistics, sampling, and error cases
- Basic understanding of machine learning and large-language-model pretraining
- Ability to understand data controls, controlled variables, and model-evaluation results
- Analysis, communication, and collaboration skills
Responsibilities
- Design and build pretraining-data asset-management capabilities
- Develop data-ingestion, development, processing, and publishing workflows
- Build data catalog, search, preview, access-control, and data-service capabilities
- Establish data-quality rules, validation, sampling checks, reports, and quality gates
- Design APIs, SDKs, and self-service tools for data algorithms and experiments
- Improve the data-asset lifecycle from production through consumption
