AI Engineer (Image Analysis & Evaluation)

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.

AI Engineer (Image Analysis & Evaluation)

Key Skills

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