At Alle, we are building a personal AI stylist that helps you discover, try on, and shop the best fashion trends.

We’re looking for an ML Engineer to help us build great image generation based consumer experiences (eg: Try-On, Marketing etc.) in an AI-first world. This is a great opportunity if you're interested in building a global consumer AI product, and seeking exponential learning.

Alle is venture-backed by the top VCs & angels in India & US.

📲 Download our app: Playstore, iOS

Learn more about us at: Careers @ Alle

<aside> 💡

Location: Bangalore

Full-time Role

</aside>

Your responsibilities will include:

• Build end-to-end workflows for fashion image generation ensuring consistency in outfit styles, textures, and aesthetics.
• Research and implement techniques to improve the realism and detail of AI-generated fashion images, such as achieving perfect poses, garment textures, depth of field etc.
• Train and fine-tune diffusion (transformer) models and LoRAs for generating fashion images.
• Optimize models for efficiency, speed, and quality while balancing compute costs and visual output.
• Establish rigorous evaluation metrics to assess the realism, diversity, and coherence of AI-generated fashion images.

Who you are:

• Strong knowledge of Flux/Stable Diffusion workflows, including: Text-to-image, Image-to-image, Inpainting, ControlNet, Face swap & other relevant techniques
• Understanding of key model components like text encoders, samplers, VAEs, etc.
• Hands-on experience with ComfyUI (mandatory) and other popular image generation tools
• Ability to fine-tune image generation models using techniques like LoRA. Having public projects on CivitAI, Hugging Face, or GitHub is a plus.
• Active in Stable Diffusion/Flux communities (Discord, Reddit, etc.).