Machine Learning Engineer — Multilingual Data

The role

You will own and scale a multilingual data pipeline from sourcing to continuous improvement. You will work with researchers and infra engineers to ensure model performance across languages, scripts, and cultural contexts.

What you will 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

Required qualifications

• 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

Benefits

• 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 the company

featherlessai is a small, high-caliber team with deep ML and systems experience.