
1001 - 5000 employees
Founded 20 years
🌍 Social Impact
📱 Media
Social Impact • Media • Entertainment
Social Discovery Group is the world's largest group of social discovery companies, focused on solving the problems of loneliness, isolation, and disconnection through digital reality. With 500 million users across 150 countries, the group boasts over 60 global communication and entertainment platforms. Employing a team of 1200 professionals, the company organizes events that unite a global community of professionals and provides career opportunities for individuals seeking ambitious challenges.
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1001 - 5000 employees
Founded 20 years
🌍 Social Impact
📱 Media
Social Impact • Media • Entertainment
Social Discovery Group is the world's largest group of social discovery companies, focused on solving the problems of loneliness, isolation, and disconnection through digital reality. With 500 million users across 150 countries, the group boasts over 60 global communication and entertainment platforms. Employing a team of 1200 professionals, the company organizes events that unite a global community of professionals and provides career opportunities for individuals seeking ambitious challenges.
• Train and fine-tune language models powering our AI companions • Own and improve agent harnesses, agentic loops, and the chat interface algorithm • Build and maintain the full LLM stack — from model training to production deployment • Track cutting-edge NLP research and open-source developments; translate them into an NLP roadmap • Collaborate closely with the validation, content, and dataset preparation teams to design experiments and measure model quality
• 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 or companies (strong plus) • Backend engineering experience (Python, Go, C#) • Knowledge of scalable deployment systems is a significant advantage • Nice to have: Experience with multimodal LLMs • CV background and image/video model experience • Distributed training on large-scale datasets
• REMOTE OPPORTUNITY to work full-time • Vacation 28 calendar days per year • 7 wellness days per year (time off) • Bonuses up to $5000 for recommending successful applicants • 50% payment for professional training, international conferences, and meetings • Corporate discount for English lessons • Health benefits up to $1000 gross per year
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