Machine Learning Engineer – Multilingual Data

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🕒 January 22

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Featherless AI

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2023

🤖 Artificial Intelligence

☁️ SaaS

🔌 API

Artificial Intelligence • SaaS • API

Featherless AI is a serverless AI inference and model hosting provider that offers API access to a large and growing catalog of open-weight models (12,200+), enabling developers and businesses to deploy, fine-tune, and run models at scale without managing servers. The company provides flat subscription pricing with unlimited tokens, GPU orchestration, private/anonymous usage (no logs), and options for enterprise self-hosting or scale units for high concurrency. Featherless AI also operates as an AI research lab focused on open-source and post-transformer model research, claiming significant cost and performance improvements for large models and AI agents.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Competitive compensation + meaningful equity at Series A stage