About this role
We are looking for an AI Engineer with hands-on experience in working with photographs using machine learning. The focus of this role is image understanding, evaluation, ranking, and optimization.
What you will work onAnalysis and evaluation of images using AI modelsImage quality assessment and rankingDeveloping and training models that can objectively evaluate photosImage enhancement tasks: quality improvement, color correction, visual consistency using modern ML models (Like vision-1, Nano Banana Pro)Building and iterating on AI-driven image pipelines based on real-world performanceRequirements
Proven experience working with images using AI / MLStrong understanding of computer vision techniques for image reading, evaluation, and comparisonExperience training and fine-tuning models for image-related tasksPractical knowledge of image quality metrics and evaluation approachesUnderstanding of how image quality impacts user behavior and business outcomesMotivation to work deeply with visual data and improve it in measurable waysExperimentation & analyticsExperience with A/B testing and experimentation frameworksAbility to design experiments to validate model decisions using real metrics, not subjective judgmentUnderstanding how to analyze experiment results and iterate based on dataExperience optimizing models and image pipelines through continuous measurement and testingNice to haveFamiliarity with large-scale image datasetsExperience or familiarity with frameworks like LangChain or similar agent-based orchestration toolsUnderstanding how LLMs and agents can be integrated into ML pipelines (e.g. evaluation, orchestration, metadata enrichment)Experience deploying and maintaining ML models in productionBenefits
Work on a revolutionary product at the intersection of travel and machine learning. Direct impact: your models go to production and shape the core of the product, not stay in research slides. Fast growth environment: exposure to modern ML stacks (transformers, multimodal ML, computer vision) with constant room to experiment. Ownership: you’ll have autonomy in decision-making and the chance to influence product direction. Flat team structure: work directly with founders and senior engineers, no endless management layers. Visibility: your contributions will be recognized, not lost in a big company hierarchy.