5 часов назад
ML Research Engineer
180 000 - 350 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
ML Research Engineer (Applied AI/Search): Building foundational embedding models and large-scale machine learning systems for web search with an accent on transformer architectures, dataset creation, and search-quality evaluation. Focus on pre-training hundred-billion-parameter models, developing RLAIF pipelines, designing novel search architectures, and measuring improvements in retrieval quality.
Location: In-person in San Francisco, United States
Salary: $180K–$350K per year plus equity
Company
is an applied AI lab building a large-scale search engine powered by web crawling infrastructure, embedding models, and vector databases.
What you will do
- Train foundational embedding and transformer-based models for web search.
- Create large-scale datasets and analyze data quality for search applications.
- Design and implement novel search architectures in PyTorch.
- Build pre-training and fine-tuning systems, including an RLAIF pipeline for search.
- Develop evaluation systems to measure progress in search quality.
- Improve internal state-of-the-art model performance through experimentation.
Requirements
- Graduate-level machine learning experience or exceptional undergraduate-level expertise.
- Ability to implement a transformer model from scratch in PyTorch.
- Experience or strong interest in creating large-scale datasets and conducting in-depth data analysis.
- Interest in improving access to high-quality knowledge through search.
- Ability to work in person in San Francisco.
Culture & Benefits
- Visa sponsorship is available for international candidates, including STEM OPT, OPT, H1B, O1, and E3 cases, subject to approval.
- Premium medical, dental, and vision healthcare benefits.
- Fertility benefits and 16 weeks of fully paid parental leave for all new parents.
- Monthly wellness stipend.
- Equity is included in the compensation package.
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