---
title: 'AI Researcher – Multilingual Data at Featherless AI'
canonical: 'https://feeny.ai/job/ai-researcher-multilingual-data-featherless-ai-world-aj24t2jw442p'
type: 'job'
last_seen: '2026-09-08'
---

# AI Researcher – Multilingual Data at Featherless AI

- **Company:** Featherless AI
- **Location:** World
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-01-23
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/featherlessai/ee1a374f-2a11-4908-8eaa-80ccf0e4942d

## Job description

## 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

## About Featherless AI

## Company Overview
- **One-liner**: Featherless AI provides a serverless platform that offers API access to over 40,000 open-weight AI models from a single endpoint, designed for developers and enterprises.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Eugene Cheah (CEO, Co-Founder)

## Core Business
- **Primary industry**: Artificial Intelligence Infrastructure / Serverless LLM Hosting
- **Target customers**: B2B, serving developers, AI startups, and enterprises seeking scalable, cost-effective inference for open-source models.
- **Mission or purpose**: To democratize access to all AI models by making them available for serverless inference, eliminating the need for server setup and complex infrastructure management.

## Products & Services
- **Featherless API**: A unified API gateway providing instant access to over 40,000 open-weight models (e.g., DeepSeek, Llama, Mistral, Qwen, RWKV, GLM, Kimi) without setup or hosting. Pricing is flat-rate with unlimited tokens, starting at $25/month for up to 4 concurrent connections and 32K context, scaling to $200/month for higher tiers. Agent-specific plans ($100/month) include sandbox environments and persistent storage. The service emphasizes low latency, dependable uptime, and predictable costs.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: **Total Funding of $25M** — raised $5M in a Seed round (April 2025, led by Airbus Ventures) and $20M in a Series A round (announced ~May 2026, details still emerging).
- **Notable Investors/Partners**: Airbus Ventures, Kickstart Ventures, Panache Ventures, BMW i Ventures, AMD Ventures, and 11 other investors. The platform is built by researchers contributing to RWKV, a Linux Foundation project.
- **Growth Signals**: The company is on a rapid growth trajectory, with headcount increasing 46.7% year-over-year to 14 employees. The website boasts over 2,100 "stars" for its Discord community. The company has a global presence, operating in 9 countries (including Singapore, Canada, Czechia, UK, Belgium, and Sweden). Website traffic is strong (73,508 monthly visits, growing +19.9% month-over-month), and there are 43 active job postings, a 65.4% quarterly increase in hiring. The Series A announcement signals significant investor confidence.

## Competitive Advantages
- **Extensive Model Library & Zero-Friction Access**: A single API key provides access to the entire Hugging Face trending library, including models up to 229B parameters, with no need to manage infrastructure.
- **Unlimited-Token, Flat-Rate Pricing**: A strong differentiator in the "per-token" pricing era, offering predictable costs suitable for scaling, with tiers from $25 to $200/month.
- **Build for Reliability & Performance**: Architecture designed for real workloads with low latency and dependable uptime, utilizing proprietary GPU orchestration and model load-balancing.
- **Open-Source Roots & Community**: Built by researchers contributing to RWKV (a Linux Foundation project), the company is deeply embedded in the open-source AI ecosystem, which fosters trust and community-driven development.

## Strategic Focus
- **Scaling the Platform & Enterprise Adoption**: The Series A funding will be used to expand AI infrastructure and grow the platform. The company is actively hiring for senior roles like Founding Account Executives and Business Development Reps, signaling a shift toward aggressive go-to-market and enterprise sales.
- **Expanding Global Presence**: With a distributed team across the US, Europe, and Asia, the company is building a global, remote-first workforce.
- **Technical Innovation**: Focused on continuous improvement of inference performance and cost-efficiency through their GPU orchestration system and model load-balancing.

## Why Work Here
- **High-Growth Stage**: As a Series A startup with strong investor backing, this is an opportunity to join a company experiencing rapid scaling, which offers significant career growth and impact potential.
- **Impact & Ownership**: Employees are likely to have high autonomy and a direct impact on the company's trajectory, from building core infrastructure to driving revenue.
- **Remote-First & Global Team**: Based on the distributed headcount across 9 countries (US, Singapore, Canada, UK, Belgium, etc.), the company is clearly remote-first, offering flexibility in where you work. Job postings reflect opportunities in the US and Europe (e.g., Paris, Berlin).
- **Cutting-Edge Technical Challenge**: The core work involves solving complex problems in AI inference, GPU orchestration, and MLOps, making it a compelling place for engineers and researchers passionate about AI infrastructure.
- **Culture & Values**: The company's deep ties to open-source AI communities and its "flat-rate, no-surprises" pricing philosophy likely translate into a transparent, developer-friendly internal culture. The small, highly-skilled team (14 people) suggests a close-knit, high-performing environment.

## Sources
1. [Featherless.ai Website](https://featherless.ai/)
2. [Featherless AI LinkedIn](https://www.linkedin.com/company/feather-serverless-ai)
3. [Featherless AI Docs](https://featherless.ai/docs/overview)
4. [CB Insights Profile](https://www.cbinsights.com/company/recursal-ai)
5. [Featherless AI Jobs](https://jobs.ashbyhq.com/featherlessai)

## Other roles at Featherless AI

- [Founding Account Executive (AI Cloud)](https://feeny.ai/job/founding-account-executive-ai-cloud-featherless-ai-us-krryw5zpmt01) — US &, Canada
- [Founding Business Development Rep (AI Cloud US/CA)](https://feeny.ai/job/founding-business-development-rep-ai-cloud-us-ca-featherless-ai-us-y876z86dw2y3) — US &, Canada
- [Chief of Staff](https://feeny.ai/job/chief-of-staff-featherless-ai-san-francisco-15ydsmveqwsq) — San Francisco, CA
- [Content Marketer](https://feeny.ai/job/content-marketer-featherless-ai-europe-xnsbz1evvkbs) — Europe
- [Business Development Rep (AI Cloud)](https://feeny.ai/job/business-development-rep-ai-cloud-featherless-ai-europe-hd5fymsqsh5h) — Europe
- [AI Researcher — Training Optimization](https://feeny.ai/job/ai-researcher-training-optimization-featherless-ai-world-hyc2csn67p2p) — World
- [AI Researcher — AI Architecture Research](https://feeny.ai/job/ai-researcher-ai-architecture-research-featherless-ai-world-dprg8203nt10) — World
- [AI Researcher — Distillation](https://feeny.ai/job/ai-researcher-distillation-featherless-ai-world-zxs1tx4mwq1f) — World
- [AI Researcher — Inference Optimization](https://feeny.ai/job/ai-researcher-inference-optimization-featherless-ai-world-5q35t4rfgjve) — World
- [Machine Learning Engineer — AI Architecture Research](https://feeny.ai/job/machine-learning-engineer-ai-architecture-research-featherless-ai-world-88g5fbqva8pd) — World