---
title: 'Machine Learning Engineer — Multilingual Data at Featherless AI'
canonical: 'https://feeny.ai/job/machine-learning-engineer-multilingual-data-featherless-ai-world-xqzk3gra89d8'
type: 'job'
last_seen: '2026-09-08'
---

# Machine Learning Engineer — Multilingual Data at Featherless AI

- **Company:** Featherless AI
- **Location:** World
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-01-22
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/featherlessai/d73fa2f3-f586-4ffe-a831-04dc1ec9ad77

## Job description

We’re looking for a Machine Learning Engineer to own and scale our multilingual data pipeline—from sourcing and curation to evaluation and continuous improvement. You’ll work closely with researchers and infra engineers to ensure our models perform robustly across languages, scripts, and cultural contexts.

This role sits at the intersection of data, research, and production ML and is ideal for someone who cares deeply about data quality, linguistic diversity, and model generalization beyond English.

## WHAT YOU’LL DO

- Design, build, and maintain large-scale multilingual datasets across high- and low-resource languages
- Develop data pipelines for collection, cleaning, normalization, deduplication, and labeling
- Implement quality filters using statistical, heuristic, and model-based methods
- Work with researchers to define language coverage, benchmarks, and evaluation metrics
- Analyze dataset bias, coverage gaps, and failure modes across regions and scripts
- Support training, fine-tuning, and distillation workflows with high-quality multilingual data
- Continuously iterate on datasets based on model performance and real-world usage

## WHAT WE’RE LOOKING FOR

- 3+ years of experience as an ML Engineer, Applied Scientist, or similar role
- Strong experience working with multilingual or non-English datasets
- Solid understanding of NLP fundamentals (tokenization, embeddings, language modeling)
- Experience building scalable data pipelines (Python, Spark, Ray, or similar)
- Familiarity with Unicode, scripts, tokenization challenges, and language-specific quirks
- Comfort collaborating with researchers and translating research needs into production systems

## NICE TO HAVE

- Experience with low-resource languages or multilingual benchmarks (e.g. FLORES, XTREME)
- Exposure to LLM training, fine-tuning, or distillation
- Linguistics background or experience working with native language experts
- Contributions to open-source datasets or ML tooling
- Experience with data quality evaluation at scale

## WHY JOIN

- Real ownership over a core differentiator of the product
- Work on models used globally, not just in English-speaking markets
- Small, high-caliber team with deep ML and systems experience
- Competitive compensation + meaningful equity at Series A 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 – Multilingual Data](https://feeny.ai/job/ai-researcher-multilingual-data-featherless-ai-world-aj24t2jw442p) — 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