
1001 - 5000 employees
Founded 20 years
đ Social Impact
đ± Media
Social Impact âą Media âą 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
đ Social Impact
đ± Media
Social Impact âą Media âą 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.
âą Train and fine-tune generative models (text2image, image2image, video2image, IP-adapters) âą Work with image classifiers, rankers, and image/video captioning models âą Track cutting-edge CV research and open-source developments âą Build and own the iterative model improvement process âą Optimize inference performance: diffusion optimization, quantization âą Optionally: train multimodal AI companions that combine CV and NLP
âą 5+ Years of experience training diffusion models âą Proficiency with diffusers and transformers libraries âą Hands-on experience with IP-adapters âą Backend engineering experience (Python, Go, C#) âą Knowledge of scalable deployment systems is an advantage âą Nice to have: Flow matching training âą Diffusion model distillation âą DPO and other text2image fine-tuning approaches âą Text2video and CLIP fine-tuning âą Experience with multimodal LLMs âą NLP / LLM training and chatbot development background
âą REMOTE OPPORTUNITY to work full-time âą Vacation 28 calendar days per year âą 7 wellness days per year (time off) âą Bonuses up to $5000 for recommending successful applicants âą 50% payment for professional training, international conferences, and meetings âą Corporate discount for English lessons âą Health benefits (up to $1000 gross per year) âą Equipped workplace and necessary equipment provided
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