Senior CV Engineer
Social Discovery Group8 days ago
Remote, WorldwideSenior
Responsibilities
- Train and fine-tune generative computer vision models for text-to-image, image-to-image, video-to-image, and IP-adapter applications.
- Work with image classifiers, rankers, and image/video captioning models that understand visual context.
- Track computer vision research and open-source developments and translate them into an ML team roadmap.
- Own the iterative model-improvement process, including quality-validation systems for computer vision outputs.
- Optimize inference performance through diffusion optimization, quantization, and kernel- or framework-level work.
- Optionally train multimodal AI companions combining computer vision and NLP.
Requirements
- At least 5 years of experience training diffusion models and modifying their architectures.
- Proficiency with the diffusers and transformers libraries.
- Hands-on experience with IP-adapters.
- Backend engineering experience with Python, Go, or C# and knowledge of scalable deployment systems is advantageous.
- Experience with flow-matching training, diffusion-model distillation, DPO, text-to-image fine-tuning, text-to-video, CLIP fine-tuning, multimodal LLMs, NLP/LLM training, or chatbot development is preferred.
Benefits
- Full-time remote work opportunity.
- 28 calendar days of vacation and 7 wellness days per year.
- Referral bonuses for successful applicants.
- The company covers 50% of professional training, international conferences, and meetings.
- Corporate discount for English lessons.
- Health benefits, including support for employees not eligible for corporate medical insurance.
- Equipped workplace and necessary equipment in company offices or coworking locations, with workplace-cost reimbursement in other locations.
- Internal gamified gratitude system with merchandise, team-building activities, and massage certificates.
Categories
About Social Discovery Group
Social Discovery Group builds and operates consumer social-discovery and entertainment platforms that help people meet and interact online, and it also invests in related IT startups. The company monetizes its products as consumer internet services and runs multiple brands in dating, live-streaming, and chat experiences. Founded in 1991 and headquartered in Malta, it is privately held and works with distributed teams serving users in multiple countries.