Machine Learning Engineer — Multilingual Data

📋 Description Design, build, and maintain large-scale multilingual datasets. Develop data pipelines for collection, cleaning, normalization, deduplication, and labeling. Implement quality filters using statistical, heuristic, and model-based methods. Define language coverage, benchmarks, and evaluation metrics with researchers. Analyze dataset bias, coverage gaps, and failures across regions and scripts. Support training, fine-tuning, and distillation with multilingual data. 🎯 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 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