4 дня назад
Senior NLP Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior NLP Engineer (AI): Train and fine-tune language models for AI companions with an accent on agentic loops and the full LLM stack. Focus on implementing alignment techniques like RLHF and DPO, and translating cutting-edge NLP research into a production roadmap.
Location: Remote (Worldwide)
Company
One of the world's largest groups of social discovery companies, uniting millions of users across dozens of products designed to combat loneliness and disconnection.
What you will do
- Train and fine-tune large language models powering AI companions.
- Own and improve agent harnesses, agentic loops, and chat interface algorithms.
- Build and maintain the full LLM stack from model training to production deployment.
- Translate cutting-edge NLP research and open-source developments into a technical roadmap.
- Collaborate with validation and dataset preparation teams to design experiments and measure quality.
Requirements
- Deep experience training and fine-tuning large language models.
- Hands-on experience building agent harnesses and agentic pipelines.
- Strong understanding of RLHF, DPO, and other alignment/post-training techniques.
- Proficiency with transformers, PyTorch, and related libraries.
- Experience at AI-focused startups (e.g., OpenAI, Character AI) is a strong plus.
Nice to have
- Experience with multimodal LLMs.
- CV background and image/video model experience.
- Experience with distributed training on large-scale datasets (millions to billions of samples).
- Backend engineering experience in Python, Go, or C#.
Culture & Benefits
- Full-time remote work opportunity for digital nomads.
- 28 calendar days of vacation and 7 additional wellness days per year.
- Health benefits including up to $1,000 gross per year for insurance or medical fees.
- Workplace organization reimbursement up to $1,000 gross every 3 years.
- 50% reimbursement for professional training, international conferences, and meetings.
- Internal gamified gratitude system for bonuses and merchandise.
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