Member of Technical Staff - Multilingual Data

The role

You will design and operate large-scale multilingual data pipelines. You will also run scientific experiments to improve multilingual data efficiency for large language models.

What you will do

• Design and operate large-scale multilingual data pipelines
• Define and enforce quality bars for multilingual corpora
• Design and run scientific experiments to advance understanding of scaling large language models
• Lead small research projects independently
• Build evaluation sets and diagnostics to close gaps in model behavior
• Work with pre-training, mid-training, and post-training teams

Required qualifications

• Strong software engineering fundamentals
• Comfort processing web-scale datasets in distributed environments
• Experience building large-scale data pipelines for language models, machine translation, speech, or search
• Fluency or working proficiency in at least one language other than English
• A rigorous, measurement-first mindset
• Ability to navigate trade-offs between research objectives and practical engineering realities
• Comfortable with ambiguity and high ownership in a small, fast-moving team

Nice to have

• Graduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline
• Published work in multilingual NLP, low-resource languages, or evaluation methodology
• Experience with annotation vendor management or crowdsourced data operations at scale
• Familiarity with tokenizer design and its effects on non-Latin scripts

Benefits

• Salary and equity
• Stock options
• Comprehensive medical, dental, vision, and life
• Annual wellness allowance
• Lunch and dinner provided in the office daily
• 22 weeks paid parental leave for all new birthing and non-birthing parents
• Unlimited paid time off in the U.S.
• 30 days paid time off in the U.K.
• Visa sponsorship support
• Regular off-sites, happy hours, and team celebrations

Before you apply

• This position may require access to technology or source code subject to the U.S. Export Administration Regulations
• Any offer of employment may be conditioned on the Company's ability to provide access to technology or source code in compliance with U.S. export control laws

About the company

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. They build open models to help shape the future of AI.