Our client is a venture-backed, stealth-stage technology company building next-generation matchmaking and relationship platforms. Their mission is to reimagine how people connect, using AI, community, and content as our building blocks.

● Build and deploy cutting-edge vision-language pipelines (e.g., Stable Diffusion, LoRA, CLIP, BLIP) for personalised and authentic user profile visuals.

● Fine-tune LoRA models to reflect a user's best version while maintaining identity integrity.

● Design scalable APIs for image generation, editing, and personalisation.

● Work with UX/design to integrate image-generation flows that feel intuitive and delightful.

● Optimise models for mobile performance, fast inference, and cost efficiency.

● Collaborate closely with product, backend, and ML researchers to productionize ideas.

● Experience with computer vision, generative models, or deep learning.

● Experience working with Stable Diffusion, LoRA training, and prompt engineering. Exposure to different vision-language architectures like Flux, CLIP, BLIP etc.

● Proficient in PyTorch or equivalent ML frameworks.

● Strong understanding of image pipelines, dataset curation, and captioning.

● Experience deploying ML models on cloud-based services ( at minimum Replicate, Hugging Face

Spaces and preferably on GPUs).

● Comfortable writing production-ready Python, working with versioned models and real-time inference stacks.

● Passionate about building beautiful, human-centred AI experiences.

● Join a founding team where your work is core to product experience

● Shape the future of how humans connect in the AI era

● Significant ESOPs and wealth creation + competitive cash compensation