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