Featherless AI
More roles at Featherless AIMachine Learning Engineer — Multilingual Data
Remote work allowed only within certain countries or regions.
Employer listed it 9 months ago · Added 5 weeks ago
Been open since 9 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
- Location eligibility not confirmed
- Contract
- Not mentioned in the advert
- Experience asked for
3+ years of experience as an ML Engineer, Applied Scientist, or similar role
- Pay
- Not mentioned in the advert
Remote flexibility
Region Restricted
Remote work is allowed, but the listing limits candidates to Remote (world).
What the employer says
- Source listing states candidate location: "Remote (world)"
What Nomaders makes of it
- Nomaders could not match this to a wider region
- Check the original posting
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Before you apply
Questions worth asking: Nomaders interpretation
- The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
- No pay is stated. Ask for the salary range before investing time in interviews.
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
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.
What You’ll 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
What We’re Looking For
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
Why Join
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Featherless AI, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1mo ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Pay not stated · You'll be taken to the employer's careers page.