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In this role, you will transform cutting-edge visual models into practical real-world applications. We are building AI systems for a global audience, and this position is part of our international team with remote work arrangements.
Job DescriptionAs a member of our team, you will fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures that our models are not only intelligent but also safe, trustworthy, and impactful at scale.
Responsibilities- Fine-tune and adapt diffusion models using LoRA, DreamBooth, and other parameter-efficient methods.
- Curate datasets by building, cleaning, and annotating large-scale image datasets with captioning, tagging, and NSFW filtering for safe and aligned generation.
- Evaluate and align generated outputs across fidelity, diversity, style adherence, and safety.
- Optimize performance by applying GPU memory optimization, latent diffusion tricks, and distributed training for efficient scaling.
- Deploy and monitor diffusion-powered features in production with monitoring for drift, latency, and quality.
- Collaborate with product and design to integrate generative vision capabilities into user experiences.
- Strong experience with diffusion models and generative vision.
- Hands-on skills with DreamBooth, LoRA/QLoRA, and fine-tuning methods.
- Proficiency with PyTorch.
- Experience in dataset preparation (captioning, tagging, filtering, augmentation).
- Knowledge of GPU optimization, latent diffusion, and efficient training techniques.
- Strong foundations in software engineering, algorithms, and clean code practices.
- This role is a global opportunity with remote work arrangement.
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