AI/ML Computer Vision Engineer — Founding AI Team

AtheerB · Riyadh, Saudi Arabia

AI/ML Computer Vision Engineer — Founding AI TeamAtheerB — AI Beauty-Tech📍 Riyadh, Saudi Arabia💼 Equity-Based | No Salary at This Stage🏢 Reporting to HP — AtheerB / Get Started V, Riyadh🚀 Founding AI & Engineering TeamAtheerB is building an AI-powered beauty technology platform designed to transform how people understand their skin, hair, beauty routines and product choices.We are looking for an exceptional AI/ML Computer Vision Engineer to join our founding team in Riyadh and help build the intelligence behind AtheerB.This is not simply an AI integration role.We are looking for an engineer who can work deeply with computer vision, multimodal AI, machine learning and image-processing systems to develop production-grade capabilities for skin and hair analysis.You will help build one of the most important technology layers of AtheerB.What We Are BuildingAtheerB’s AI ecosystem will include:

AI-powered selfie analysis
Skin and hair visual analysis
Personalized beauty insights
Product and routine recommendations
AI Beauty Consultant
Ingredient and product intelligence
Before/after progress tracking
Multimodal AI experiences
Personalized customer profiles
Climate and environmental context
Continuous improvement through customer feedback and longitudinal dataOur objective is to build a beauty intelligence platform originating from Riyadh that can scale across Saudi Arabia, the GCC and global markets.Your MissionYour primary mission will be to help develop Atheer Vision — the computer-vision intelligence layer powering AtheerB’s visual skin and hair experiences.You will work closely with the CTO, AI engineers, full-stack engineers and product/design teams to transform customer images into reliable structured signals that can power personalized experiences.Key Responsibilities
Design and develop computer-vision pipelines for skin and hair imagery
Build image-quality assessment and preprocessing systems
Research and evaluate vision and multimodal foundation models
Develop ML pipelines for image classification, segmentation and detection where appropriate
Experiment with facial/skin-region segmentation and relevant visual feature extraction
Develop approaches for hair/scalp image analysis where technically appropriate
Build before/after image comparison and progress-tracking capabilities
Evaluate lighting, camera, angle and image-quality effects on model outputs
Build confidence scoring and uncertainty handling into AI outputs
Integrate computer-vision models into AtheerB’s production platform
Develop APIs/services that expose ML capabilities to product applications
Build model evaluation frameworks and benchmark datasets
Establish reproducible experimentation and model-versioning processes
Improve inference speed, cost and scalability
Monitor model performance in production
Work with backend engineers on image-processing infrastructure
Work with the AI team on multimodal and recommendation workflows
Document model assumptions, limitations and performanceTechnical ExperienceWe are particularly interested in candidates with experience across:
Python
PyTorch and/or TensorFlow
OpenCV
Computer vision
Deep learning
Image classification
Object detection
Image segmentation
Vision Transformers
CNN architectures
Multimodal models
Embeddings
Model fine-tuning
Transfer learning
Dataset development
Model evaluation
ML inference pipelines
REST/API integration
Docker
Cloud ML infrastructure
Git and modern engineering workflowsExperience with platforms such as AWS, Google Cloud or Azure is valuable.Multimodal AIAtheerB will combine traditional computer vision with modern multimodal foundation models.You should be comfortable evaluating and integrating technologies such as:
Vision-language models
Multimodal LLMs
Foundation vision models
Image embeddings
Structured outputs from multimodal models
Model ensembles
Retrieval systems
AI evaluation frameworksWe are interested in engineers who understand that the best production architecture may combine proprietary models, open-source models and commercial foundation models.You should be able to determine what AtheerB should build, fine-tune, license or integrate.Beauty-Tech IntelligenceYou will help explore technical approaches for analyzing observable characteristics relevant to cosmetic and beauty experiences.This may include areas such as:
Visible skin texture
Appearance of pores
Visible spots and pigmentation patterns
Appearance of fine lines
Visible redness
Apparent oiliness/dryness indicators
Skin-image consistency over time
Hair appearance and visible characteristics
Before/after progress comparisonThe system must communicate appropriate confidence and limitations.AtheerB is a beauty technology platform, and its AI experiences must not be presented as a substitute for professional medical diagnosis.Building AtheerB’s Data AdvantageOne of your most important long-term responsibilities will be helping AtheerB build its proprietary AI and data advantage.That means thinking beyond APIs.You will help establish:Data → Evaluation → Models → Personalization → Feedback → Better IntelligenceAs AtheerB grows, carefully governed and appropriately consented data can help us improve model evaluation, personalization and product intelligence.You will help determine how this capability should evolve responsibly.Responsible AI & PrivacyCustomer images require serious technical responsibility.You will work with leadership to implement:
Privacy-by-design
Secure image processing
Data minimization
Consent-aware workflows
Encryption and access controls
Image retention/deletion mechanisms
AI output traceability
Model-performance monitoring
Bias and fairness evaluation
Confidence and uncertainty handlingResponsible AI is part of the product architecture, not an afterthought.Who We Are Looking ForYou may be a strong candidate if you:
Have built real computer-vision or ML systems
Understand the difference between an AI demo and production AI
Can move from research papers to working prototypes
Can evaluate models objectively rather than following AI hype
Understand datasets and evaluation deeply
Can write production-quality Python
Can integrate ML models into software products
Understand inference cost and performance
Are comfortable working with incomplete datasets and early-stage problems
Can communicate technical trade-offs clearly
Want significant ownership over the AI architecture you buildExperience in beauty-tech, skincare AI, hair-tech, health-tech, dermatology imaging, medical imaging, facial analysis, consumer AI or recommendation systems is particularly valuable.Research + Builder MentalityWe do not want someone who only trains models in notebooks.We need someone capable of taking:Research → Experiment → Model → API → Product → Production → Evaluation → ImprovementYou should be comfortable getting your hands dirty and shipping.The right candidate will help create AtheerB’s AI capabilities from an early stage and will have significant influence over our future AI roadmap.Equity-Based OpportunityThis is an equity-based founding-team position.There is no salary at the current stage.Equity will be structured with vesting and aligned with contribution, commitment, responsibilities and long-term value creation.This opportunity is intended for someone who wants to participate in building the company—not simply work for it.Candidates should understand the risk, responsibility and potential upside associated with joining an early-stage venture.Please do not apply if you are currently seeking exclusively salaried employment.LocationRiyadh, Saudi ArabiaThe position reports to the CTO of AtheerB, with AtheerB operating under Get Started V in Riyadh.Preference will be given to candidates already based in Riyadh or willing to relocate.ApplicationPlease submit:
CV / Resume
LinkedIn profile
GitHub profile
Research/publications, if applicable
ML/Computer Vision portfolio
Examples of models or AI products you have builtPlease also answer:1. What is the most advanced computer-vision system you have personally built?2. Which parts did you personally design and implement?3. What is your experience with image segmentation, classification and multimodal models?4. How would you approach building a selfie-based skin analysis system?5. How would you measure whether its outputs are genuinely reliable?6. When would you use an existing foundation model versus building or fine-tuning your own model?7. How would you address lighting, camera quality, skin-tone diversity and other sources of bias?8. Which AI development tools do you currently use?9. Are you comfortable joining on an equity-only basis with no salary at this stage?10. Are you based in Riyadh or willing to relocate?AtheerBcareers@atheerb.coBuilding the intelligence layer for the future of beauty.