AI Researcher – Multilingual Data

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Overview

Featherless AI is actively searching for an AI Researcher who will focus on multilingual data to assist in building and scaling cutting-edge language models. This is a unique opportunity to be involved in the innovative field of natural language processing (NLP) while making a genuine impact in a fast-paced startup environment.

Responsibilities

As an AI Researcher, you will have the following responsibilities:

  • Design and execute research on multilingual datasets, which includes tasks such as data collection, filtering, deduplication, and assessment of data quality.

  • Develop strategies specifically for low-resource and long-tail languages. This may involve sampling techniques, data augmentation, and curriculum design to support these underrepresented languages effectively.

  • Conduct research aimed at improving cross-lingual transfer, alignment, and robustness in large language models. You will be in a position to experiment and drive research forwards in these critical areas of NLP.

  • Build and maintain evaluation benchmarks to assess multilingual performance, ensuring that the models developed meet industry standards.

  • Collaboration is key, as you will work closely with engineers and other researchers on training pipelines and decisions regarding model architecture, facilitating a team-centered approach to innovation.

  • A critical part of your role will be to publish research in reputable channels such as ACL, EMNLP, NeurIPS, ICML, and ICLR. Furthermore, you will contribute to open-source where feasible, translating complex insights into practical enhancements in production models.

Required Skills

To be a strong candidate for this position, you should possess:

  • A solid background in NLP and ML research with a specific focus on multilingual or cross-lingual modeling.

  • A proven publication record at esteemed conferences or in significant journals, showcasing your expertise and contributions to the field of AI.

  • Practical experience working with large-scale text datasets across multiple languages, which is critical in this multilingual role.

  • A comprehensive understanding of concepts such as tokenization and vocabulary design for multilingual models, as well as data quality metrics and the significance of filtering to eliminate dataset bias.

  • Proficiency in transfer learning and multilingual representation learning, which will be essential for the tasks at hand.

  • Experience with Python and contemporary machine learning frameworks such as PyTorch or JAX; this will allow you to prototype efficiently within the research environment.

  • The ability to work independently and stay productive within the fast-paced atmosphere typical of startups.

Nice to Have

While not essential, the following experiences and skills would be advantageous:

  • Experience dealing with low-resource languages or working with non-Latin scripts is highly desirable.

  • Contributions to the open-source community particularly in areas of NLP or data tooling, showing a proactive engagement with the broader tech community.

  • Familiarity with training or evaluating large language models, which will provide an added advantage due to the technical nature of the role.

  • Knowledge of multilingual benchmarks like XTREME, FLORES, or TyDi QA, which are valuable in assessing the performance of language models.

Compensation and Work Environment

Featherless AI offers a competitive compensation package and equity opportunities, which is a significant incentive for candidates considering early-stage startup environments. This is particularly appealing to those looking to make a meaningful impact in the AI field. The company culture is described as one that values both academic contributions as well as practical applications, providing a conducive environment for research and production.

Why Join Featherless AI?

This role presents an extraordinary opportunity to take ownership of research direction and drive significant impacts within the company. The combination of access to large datasets, advanced infrastructure, and the ability to innovate speaks to the supportive environment at Featherless AI.

Moreover, working at a startup can provide a fast-paced and dynamic environment that not only fosters growth but also cultivates creativity and individual initiative. For job seekers passionate about making a difference in AI and especially in multilingual data processing, this position is an excellent fit. Joining Featherless AI means being at the forefront of technological evolution in language processing, which fulfills both professional and personal ambitions.



This job offer was originally published on himalayas.app

Featherless AI

Remote

Data science

Full-time

May 25, 2026

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