Responsibilities
- 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
Basic qualifications
- 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
- 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
Preferred qualifications
- 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.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Ai Ai Engineer Machine Learning Computer Vision