Artificial Intelligence Engineer
MeeBoss
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Greater Seattle Area
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0
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Associate
Posted April 2, 2026
Job link
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Responsibilities
Responsibilities
- Build and deploy ML models for:
- Image classification, ranking, and tagging (faces, moments, highlights)
- Photo quality scoring and selection
- Event data understanding and summarization
- Develop and fine-tune computer vision pipelines (e.g., object detection, clustering, embeddings)
- Integrate and optimize LLMs for content generation (announcements, recaps, captions) Product-Focused AI Systems
- Design scalable AI workflows for:
- Automated event lifecycle (T-7 → T+1 automation)
- Real-time photo ingestion and processing
- AI-generated summaries and marketing content
- Improve personalization using user and community behavior data Data & Infrastructure
- Build data pipelines for training and inference
- Work with large-scale image datasets and event metadata
- Optimize model performance, latency, and cost in production
- Collaborate on backend APIs for AI services Experimentation & Research
- Run experiments to improve model accuracy and user engagement
- Stay updated with advances in:
Not Met Priorities
What still needs stronger evidence
Requirements
- Automated event lifecycle (T-7 → T+1 automation)
- Real-time photo ingestion and processing
- AI-generated summaries and marketing content
- Computer vision
- Generative AI
- Multimodal systems Required Qualifications
- 2–4+ years of experience in machine learning or AI engineering
- Strong experience with:
- Python (PyTorch / TensorFlow)
- Computer vision (OpenCV, embeddings, CNNs, or modern CV models)
- APIs and backend integration
- Experience deploying models in production (AWS/GCP/Azure) Preferred Qualifications
- Experience with multimodal AI (image + text)
- Familiarity with LLMs and prompt engineering / fine-tuning
- Experience with real-time systems or event-driven architectures
- Background in consumer apps, social platforms, or creator tools What You’ll Work On
- AI photo ranking and “best shot” selection
Preferred Skills
- Python (PyTorch / TensorFlow)
- Computer vision (OpenCV, embeddings, CNNs, or modern CV models)
- Experience deploying models in production (AWS/GCP/Azure) Preferred Qualifications
- Familiarity with LLMs and prompt engineering / fine-tuning
- Experience with real-time systems or event-driven architectures
- AI photo ranking and “best shot” selection
Education
- (Required) – Multimodal systems Required Qualifications
- (Not required) – Bachelor’s or Master’s in Computer Science, AI, or related field
Company: Orena Role Overview We’re looking for an AI/ML Developer to design, build, and deploy machine learning systems that power Croptop’s core features—photo intelligence, event automation, and AI-generated content. You’ll work across computer vision, LLMs, and applied AI systems , turning raw data (images, event metadata, user interactions) into meaningful, automated experiences. Key ResponsibilitiesMachine Learning & AI Development
Build and deploy ML models for:
Image classification, ranking, and tagging (faces, moments, highlights)
Photo quality scoring and selection
Event data understanding and summarization
Develop and fine-tune computer vision pipelines (e.g., object detection, clustering, embeddings)
Integrate and optimize LLMs for content generation (announcements, recaps, captions) Product-Focused AI Systems
Design scalable AI workflows for:
Automated event lifecycle (T-7 → T+1 automation)
Real-time photo ingestion and processing
AI-generated summaries and marketing content
Improve personalization using user and community behavior data Data & Infrastructure
Build data pipelines for training and inference
Work with large-scale image datasets and event metadata
Optimize model performance, latency, and cost in production
Collaborate on backend APIs for AI services Experimentation & Research
Run experiments to improve model accuracy and user engagement
Stay updated with advances in:
Computer vision
Generative AI
Multimodal systems Required Qualifications
Bachelor’s or Master’s in Computer Science, AI, or related field
2–4+ years of experience in machine learning or AI engineering
Strong experience with:
Python (PyTorch / TensorFlow)
Computer vision (OpenCV, embeddings, CNNs, or modern CV models)
APIs and backend integration
Experience deploying models in production (AWS/GCP/Azure) Preferred Qualifications
Experience with multimodal AI (image + text)
Familiarity with LLMs and prompt engineering / fine-tuning
Experience with real-time systems or event-driven architectures
Background in consumer apps, social platforms, or creator tools What You’ll Work On
AI photo ranking and “best shot” selection
Smart tagging and clustering of event photos
AI-generated event recaps and social content
Automation workflows powered by AI
Building a “memory layer” across events About MeeBoss: MeeBoss is a startup revolutionizing the online recruiting industry. Our mission is to streamline the hiring process, empowering both job seekers and employers to connect effectively. By leveraging cutting-edge technology, MeeBoss is transforming the way companies attract, engage, and hire top talent. Our solutions are tailored to the needs of modern businesses through direct chat with job-ready talent and to connect job seekers to the person behind the job, delivering a seamless, personalized experience - anywhere, anytime. All postings we share are carried out with the prior consent and partnership of our clients.
Build and deploy ML models for:
Image classification, ranking, and tagging (faces, moments, highlights)
Photo quality scoring and selection
Event data understanding and summarization
Develop and fine-tune computer vision pipelines (e.g., object detection, clustering, embeddings)
Integrate and optimize LLMs for content generation (announcements, recaps, captions) Product-Focused AI Systems
Design scalable AI workflows for:
Automated event lifecycle (T-7 → T+1 automation)
Real-time photo ingestion and processing
AI-generated summaries and marketing content
Improve personalization using user and community behavior data Data & Infrastructure
Build data pipelines for training and inference
Work with large-scale image datasets and event metadata
Optimize model performance, latency, and cost in production
Collaborate on backend APIs for AI services Experimentation & Research
Run experiments to improve model accuracy and user engagement
Stay updated with advances in:
Computer vision
Generative AI
Multimodal systems Required Qualifications
Bachelor’s or Master’s in Computer Science, AI, or related field
2–4+ years of experience in machine learning or AI engineering
Strong experience with:
Python (PyTorch / TensorFlow)
Computer vision (OpenCV, embeddings, CNNs, or modern CV models)
APIs and backend integration
Experience deploying models in production (AWS/GCP/Azure) Preferred Qualifications
Experience with multimodal AI (image + text)
Familiarity with LLMs and prompt engineering / fine-tuning
Experience with real-time systems or event-driven architectures
Background in consumer apps, social platforms, or creator tools What You’ll Work On
AI photo ranking and “best shot” selection
Smart tagging and clustering of event photos
AI-generated event recaps and social content
Automation workflows powered by AI
Building a “memory layer” across events About MeeBoss: MeeBoss is a startup revolutionizing the online recruiting industry. Our mission is to streamline the hiring process, empowering both job seekers and employers to connect effectively. By leveraging cutting-edge technology, MeeBoss is transforming the way companies attract, engage, and hire top talent. Our solutions are tailored to the needs of modern businesses through direct chat with job-ready talent and to connect job seekers to the person behind the job, delivering a seamless, personalized experience - anywhere, anytime. All postings we share are carried out with the prior consent and partnership of our clients.