Multilingual Data ML Engineer – Pipelines & Quality

Featherless AI; Poland; Remote; PLN 60,000 - 90,000; Full time

Benefits offered by this job

Competitive compensation

Meaningful equity

Real ownership over product

Work on global models

Job summary

An innovative AI company in Poland is searching for a Machine Learning Engineer to manage and enhance a multilingual data pipeline. This role involves collaborating with researchers to ensure robust model performance across languages. Applicants should have 3+ years of experience in ML, particularly with multilingual datasets, and a solid grasp of NLP principles. The company offers competitive compensation, emphasizing real ownership over impactful projects and opportunities to work globally beyond English-speaking regions.

Qualifications

• 3+ years of experience as an ML Engineer, Applied Scientist, or similar role.
• Strong experience working with multilingual datasets.
• Solid understanding of NLP fundamentals.
• Experience building scalable data pipelines.
• Familiarity with Unicode and language-specific challenges.

Responsibilities

• Design, build, and maintain multilingual datasets.
• Develop data pipelines for collection, cleaning, and labeling.
• Implement quality filters for dataset improvement.
• Work with researchers on language coverage and benchmarks.
• Analyze dataset bias and coverage gaps.
• Support training workflows with quality data.

Skills

Experience with multilingual or non-English datasets

NLP fundamentals (tokenization, embeddings, language modeling)

Building scalable data pipelines (Python, Spark, Ray)

Job description

An innovative AI company in Poland is searching for a Machine Learning Engineer to manage and enhance a multilingual data pipeline. This role involves collaborating with researchers to ensure robust model performance across languages. Applicants should have 3+ years of experience in ML, particularly with multilingual datasets, and a solid grasp of NLP principles. The company offers competitive compensation, emphasizing real ownership over impactful projects and opportunities to work globally beyond English-speaking regions.