AI Engineer (Image Analysis & Evaluation)

Job Description

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 on

• Analysis and evaluation of images using AI models
• Image quality assessment and ranking
• Developing and training models that can objectively evaluate photos
• Image 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 performance

Requirements

• Proven experience working with images using AI / ML
• Strong understanding of computer vision techniques for image reading, evaluation, and comparison
• Experience training and fine-tuning models for image-related tasks
• Practical knowledge of image quality metrics and evaluation approaches
• Understanding of how image quality impacts user behavior and business outcomes
• Motivation to work deeply with visual data and improve it in measurable ways

Experimentation & analytics

• Experience with A/B testing and experimentation frameworks
• Ability to design experiments to validate model decisions using real metrics, not subjective judgment
• Understanding how to analyze experiment results and iterate based on data
• Experience optimizing models and image pipelines through continuous measurement and testing

Nice to have

• Familiarity with large-scale image datasets
• Experience or familiarity with frameworks like LangChain or similar agent-based orchestration tools
• Understanding how LLMs and agents can be integrated into ML pipelines (e.g. evaluation, orchestration, metadata enrichment)
• Experience deploying and maintaining ML models in production

Benefits

• 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.