人工智能研究员 – 多语言数据
AI Researcher – Multilingual Data
职位描述
我们正在寻找一位专注于多语言数据的AI研究员，帮助我们在多种语言和领域中构建和扩展下一代语言模型。你将负责多语言和低资源语言的数据获取、整理、评估和训练策略的研究与执行，并高度重视高质量研究的发表以及将其转化为生产系统。
这个职位适合喜欢贴近技术前沿的人：在快速发展的初创环境中平衡论文、原型和实际影响。
你将负责
- 设计并执行多语言数据集的研究，包括数据收集、筛选、去重和质量评估
- 制定针对低资源和长尾语言的策略（采样、增强、课程设计）
- 研究并改进大型语言模型中的跨语言迁移、对齐和鲁棒性
- 构建和维护多语言性能的评估基准
- 与工程师和研究人员合作，参与训练流程和模型架构决策
- 在顶级会议（如ACL、EMNLP、NeurIPS、ICML、ICLR）上发表研究，并在适当的时候贡献开源项目
- 将研究洞察转化为生产模型的实际改进
我们希望你具备
- 强大的自然语言处理/机器学习研究背景，专注于多语言或跨语言建模
- 在权威会议或期刊上有发表记录（如ACL、EMNLP、NeurIPS、ICML、ICLR等）
- 具有处理多种语言大规模文本数据集的经验
- 熟悉：
- 多语言模型的分词和词汇设计
- 数据质量指标、筛选和数据集偏差
- 迁移学习和多语言表征学习
- 使用Python进行原型开发，熟悉现代机器学习框架（如PyTorch、JAX等）
- 能够在初创公司节奏的环境中独立工作并交付研究成果
加分项
- 具有低资源语言或非拉丁字母语言的经验
- 在自然语言处理或数据工具方面的开源贡献
- 具有训练或评估大型语言模型的经验
- 熟悉多语言基准测试（如XTREME、FLORES、TyDi QA）
加入我们的理由
- 对研究方向和影响力拥有真正的主导权
- 一个重视论文和生产的团队
- 接触有意义的规模：大量数据集、现代基础设施和快速迭代
- 有竞争力的薪酬和有意义的股权
查看英文原文
About the Role
We’re looking for an AI Researcher focused on multilingual data to help us build and scale next-generation language models across diverse languages and domains. You’ll own research and execution around data sourcing, curation, evaluation, and training strategies for multilingual and low-resource languages, with a strong emphasis on publishing high-quality research and translating it into production systems.
This role is ideal for someone who enjoys working close to the frontier: balancing papers, prototypes, and real-world impact in a fast-moving startup environment.
What You’ll Do
- Design and execute research on multilingual datasets, including data collection, filtering, deduplication, and quality measurement
- Develop strategies for low-resource and long-tail languages (sampling, augmentation, curriculum design)
- Research and improve cross-lingual transfer, alignment, and robustness in large language models
- Build and maintain evaluation benchmarks for multilingual performance
- Collaborate with engineers and researchers on training pipelines and model architecture decisions
- Publish research at top venues (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR) and contribute to open-source when appropriate
- Translate research insights into practical improvements in production models
What We’re Looking For
- Strong background in NLP / ML research, with a focus on multilingual or cross-lingual modeling
- Publication record at respected conferences or journals (ACL, EMNLP, NeurIPS, ICML, ICLR, etc.)
- Experience working with large-scale text datasets across multiple languages
- Solid understanding of:
- Tokenization and vocabulary design for multilingual models
- Data quality metrics, filtering, and dataset bias
- Transfer learning and multilingual representation learning
- Comfortable prototyping in Python with modern ML frameworks (PyTorch, JAX, etc.)
- Ability to operate independently and ship research in a startup pace environment
Nice to Have
- Experience with low-resource languages or non-Latin scripts
- Open-source contributions in NLP or data tooling
- Experience training or evaluating large language models
- Familiarity with multilingual benchmarks (e.g., XTREME, FLORES, TyDi QA)
Why Join Us
- Real ownership over research direction and impact
- A team that values papers and production
- Access to meaningful scale: large datasets, modern infrastructure, and fast iteration
- Competitive compensation and meaningful equity at an early stage
Originally posted on Himalayas