Machine Learning Engineer — Multilingual Data

Featherless AI

КомпанияFeatherless AI
ФорматУдалённо
АдресRemote (world)

Описание

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.

Обязанности

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

Требования

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…

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Machine Learning Engineer — Multilingual Data

Описание

Обязанности

Требования

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