4 дня назад
Senior NLP/LLM Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior NLP/LLM Engineer (AI): Developing and optimizing large language models for social discovery platforms with an accent on SFT, RLHF, and inference efficiency. Focus on implementing robust evaluation frameworks and scaling AI bot performance for production environments.
Location: Remote (Worldwide)
Company
is one of the world's largest groups of social discovery companies, uniting millions of users across dozens of globally recognized platforms.
What you will do
- Conduct experiments with LLMs exploring architectures and techniques like SFT, RLHF, and Adapters to enhance model capabilities.
- Develop and implement robust evaluation frameworks to assess performance, accuracy, and user satisfaction using offline and online metrics.
- Optimize AI models for inference to ensure efficiency, speed, and scalability in production environments.
- Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into the product pipeline.
Requirements
- Deep understanding of ML/DL principles, including neural network architectures, training principles, and validation metrics.
- Hands-on knowledge of core NLP tasks: text preprocessing, vectorization, text classification, and transformer-based models like BERT.
- Practical experience with LLM fine-tuning (SFT, LoRA, QLoRA), alignment (RLHF, DPO), and high-performance serving (vLLM, SGLang).
- Proficiency in Python and strong knowledge of linear algebra, probability, and statistics.
- Experience with PyTorch, transformers, numpy, pandas, and scikit-learn.
- English: B2+ level required.
Culture & Benefits
- Full-time remote work opportunity from any location.
- 28 calendar days of annual vacation and 7 additional wellness days per year.
- Health benefits including up to $1,000 gross per year for insurance or medical fees.
- Reimbursement for workplace organization up to $1,000 gross every 3 years.
- 50% payment for professional training and international conferences.
- Internal gamified gratitude system for bonuses and company merchandise.
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