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Member of Technical Staff - Multilingual Data

Reflection· Research
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San Francisco, CA, London, New York, NYFull-timePosted 1mo ago

About the role

Design and operate multilingual data pipelines and experiments to enable scalable multilingual language models, focusing on data quality, coverage, and evaluation across languages and domains.

Responsibilities

  • Design and operate large-scale multilingual data pipelines — sourcing, cleaning, deduplication, language identification, and script normalization across high- and low resource languages.
  • Define and enforce quality bars for multilingual corpora, including translation quality, cultural fidelity, toxicity, and contamination checks.
  • Design and run scientific experiments to advance understanding of scaling large language models to improve multilingual data efficiency.
  • Lead small research projects independently while collaborating on larger initiatives.
  • Build evaluation sets and diagnostics that expose where model behavior degrades by language, register, or domain, and close those gaps with targeted data.
  • Work with pre-training, mid-training, and post-training teams to land measurable, step-function improvements in multilingual capability.

Qualifications

  • Strong software engineering fundamentals and comfort processing web-scale datasets in distributed environments.
  • Experience building large-scale data pipelines for language models, machine translation, speech, or search — ideally covering more than one language.
  • Fluency or working proficiency in at least one language other than English, and genuine curiosity about how languages differ.
  • A rigorous, measurement-first mindset: you prove a data change helped rather than assuming it did.
  • Navigate trade-offs between research objectives and practical engineering realities.
  • Comfortable with ambiguity and high ownership in a small, fast-moving team. Passionate about advancing the frontier of intelligence.

Skills

Required:Distributed data processingData pipeline designMultilingual NLP / language data expertise

Benefits

  • Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
  • Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
  • Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
  • Meals: Lunch and dinner are provided in the office daily.
  • Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
  • Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
  • Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
  • Team building: We have regular off-sites, happy hours, and team celebrations.
Last updated Oct 1, 2026. Interested? Apply on the company site.

About Reflection

Building frontier open intelligence

Building frontier open intelligence.

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