Senior CV Engineer

Responsibilities

• Train and fine-tune generative models (text2image, image2image, video2image, IP-adapters) to produce photorealistic and stylized visuals
• Work with image classifiers, rankers, and image/video captioning models that understand visual context
• Track cutting-edge CV research and open-source developments to translate them into a CV roadmap
• Build and own the iterative model improvement process, including quality validation systems
• Optimize inference performance through diffusion optimization, quantization, and kernel-level work
• Optionally train multimodal AI companions combining CV and NLP

Requirements

• 5+ years of experience training diffusion models and modifying architectures
• Proficiency with diffusers and transformers libraries
• Hands-on experience with IP-adapters
• Backend engineering experience in Python, Go, or C# is an advantage
• Knowledge of scalable deployment systems

Preferred Qualifications

• Flow matching training
• Diffusion model distillation
• DPO and other text2image fine-tuning approaches
• Text2video and CLIP fine-tuning
• Experience with multimodal LLMs
• NLP / LLM training and chatbot development background

Benefits

• Remote work opportunity
• 28 calendar days of vacation per year
• 7 wellness days per year
• Up to $5,000 referral bonuses
• 50% payment for professional training and international conferences
• Corporate discount for English lessons
• Health benefits compensation up to $1,000 gross per year
• Workplace reimbursement up to $1,000 gross every 3 years

About the Company

Social Discovery Group (SDG) is a group of social discovery companies solving problems of loneliness and isolation by transforming virtual intimacy into the new normal through social entertainment platforms.