AI Data Algorithm Engineer
Active AI foundation-model company offering multimodal models, consumer AI products, and an enterprise/developer API platform.
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 research methods for constructing, extracting, parsing, cleaning, deduplicating, assessing, filtering, and selecting diverse data. You will evaluate data quality and processing results, optimize large-scale pretraining pipelines, and turn effective approaches into reusable workflows for training.
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
- Research methods for data construction, extraction, parsing, cleaning, deduplication, quality assessment, filtering, and selection
- Analyze data-source characteristics and quality issues through statistical analysis, sampling, error cases, and experiments
- Evaluate how data-processing methods affect pretraining-model results
- Design, develop, and optimize large-scale pretraining-data pipelines
- Improve data algorithms, processing tools, and engineering capabilities
- Collaborate to apply data solutions to training tasks