Machine Learning Engineer

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About Company

An early-stage, US-based, venture-backed technology company is creating innovative platforms for building meaningful relationships. The team aims to transform how people connect by harnessing artificial intelligence, fostering community engagement, and delivering tailored content. Rather than developing another conventional social app, they are crafting a unique experience that resonates deeply with users, making them feel truly understood. Central to the platform is a dynamic, machine-learning-powered recommendation system that draws inspiration from the personalised discovery engines of leading music and video platforms. With strong financial backing from top-tier venture capital firms in India and the United States, the company is well-positioned to advance its mission with innovation and impact. Company Philosophy: They believe: ● Great data + Good models = Great recommendations ● Good data + Great models = Average recommendations That’s why they are investing in data infrastructure from inception and foundation.

Position Overview

You lead the deployment of advanced vision-language models that power a personalised, photo-realistic user experience. You fine-tune and integrate models such as Stable Diffusion, LoRA, and CLIP into real-time pipelines, optimising for delight, accuracy, performance, and cost. You partner with product and design to bring generative AI capabilities to an innovative dating platform.

Role & Responsibilities

• You build and deploy cutting-edge vision-language pipelines (e.g., Stable Diffusion, LoRA, CLIP, BLIP) for personalised and authentic user profile visuals.
• You fine-tune LoRA models to reflect each user’s best version while preserving identity integrity.
• You design scalable APIs for image generation, editing, and personalisation.
• You work with UX and design teams to integrate image-generation flows that feel intuitive and delightful.
• You optimise models for mobile performance, fast inference, and cost efficiency.
• You collaborate with product, backend, and ML researchers to productionise new ideas.

Must have Criteria

• Experience with computer vision, generative models, or deep learning
• Hands-on expertise with Stable Diffusion, LoRA training, and prompt engineering
• Exposure to vision-language architectures such as Flux, CLIP, and BLIP
• Proficiency in PyTorch or equivalent ML frameworks
• Strong understanding of image pipelines, dataset curation, and captioning
• Experience deploying ML models on cloud services (e.g., Replicate, Hugging Face Spaces; ideally on GPUs)
• Ability to write production-ready Python, manage versioned models, and build real-time inference stacks
• Passion for building human-centred AI experiences

Nice to Have

• Experience with personalisation, avatars, or face-preserving generative models
• Contributions to open-source vision models or fine-tuning libraries
• Experience in a startup or fast-paced, product-focused team

What We Offer

• 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 potential
• Competitive cash compensation