Company Name: VibesMeet LLC

Job Details: Job detailsHere’s how the job details align with your profile.Paymissing preferenceFrom $50,000 a yearJob typePart-time 

Job Url: https://www.indeed.com/viewjob?cmp=VibesMeet-LLC&t=Chief+Technology+Officer&jk=615401c1d7162cda&q=Ai&xpse=SoBr67I3sYcKiUXVoh0LbzkdCdPP&xfps=7b9e0b84-8083-43a4-ad5a-1ecd0e30038d&xkcb=SoB_67M3sYcNoUSNgR0PbzkdCdPP&vjs=3

Job Description: Location: Remote (Global) | Type: Part-Time (transition to Full-Time) | Compensation: Equity + Salary after investmentAbout VibesMeetVibesMeet is a next-gen social marketplace where creators, influencers, and event organizers monetize directly through short-form video, fan shoutouts, secure meetups, and AI-powered personalization. We are launching Mobile App V1 now, with AI-powered monetization and fan engagement rolling out aggressively in the next 3–6 months.The RoleWe are looking for a highly hands-on Chief AI & Machine Learning Officer (CAI/MLO) to design, implement, and scale the entire Vibes AI Core — personalization, recommendation, AI-powered fan/creator interactions, and safety systems. Unlike advisory roles, this is a builder role: you will be coding, fine-tuning, and deploying models directly.
Key Responsibilities
 End-to-End AI Development
 Architect, train, and deploy LLMs, multimodal GenAI, and recommender systems tailored for fan–creator engagement.
 Implement personalization engine, smart replies, and content safety systems as defined in the 1–3–6 month roadmap.
 Build embeddings + vector DB pipelines (e.g., Pinecone, Weaviate, FAISS) for search, recommendations, and safety.
 Hands-On Model Engineering
 Fine-tune LLaMA, GPT models, and BERT for chat, recommendation, and monetization use-cases.
 Apply SFT, RLHF (PPO, DPO, GRPO), LoRA/QLoRA quantization, speculative decoding for optimized inference.
 Experiment with text2video, text2image, and voice cloning models for fan–creator avatars and interactions.
 AI Safety & Governance
 Implement real-time content moderation, bias testing, hallucination reduction.
 Ensure compliance with HIPAA, GDPR, and platform safety standards.
 Work with QA/security teams to integrate AI safety validation into CI/CD pipelines.
 Scalable Infrastructure
 Deploy AI models on AWS (SageMaker, ECS/Fargate, Lambda).
 Optimize inference cost (target <$1K/mo infra spend for MVP stage).
 Build monitoring dashboards for AI performance, accuracy, bias, and drift.
 Collaboration & Leadership
 Mentor engineers on AI/ML best practices.
 Translate VibesMeet’s product goals into AI research → production pipelines.
 Hire and build a lean but elite AI team once funding closes.

What We’re Looking For

 Must-Haves
 10+ years in AI/ML with proven hands-on model training, fine-tuning, and deployment.
 Deep expertise in transformers, RLHF, multimodal GenAI, and vector DB search.
 Fluency in Python, PyTorch, TensorFlow, CUDA, AWS cloud.
 Strong background in AI safety, ethics, and alignment techniques.
 Experience working in startup or scrappy environments where you build alone first.
 Nice-to-Haves
 Prior experience with social, content, or creator economy platforms.
 Publications/patents in AI/ML.
 Exposure to agentic AI systems (LangChain, LlamaIndex, HuggingFace agents).
 Familiarity with Appium, JMeter, MobSF, or other testing/QA tooling for AI-driven features.

Why Join Us?

 Ownership: You will architect VibesMeet’s entire AI backbone — from personalization to avatars.
 Impact: Your work directly drives creator monetization and fan engagement, not theoretical research.
 Support: You won’t be isolated — Amazon engineers and our dev team will back you up.
 Upside: Equity from day one, with salary kicking in post-investment. Compensation doubles with each funding milestone.

This role is not advisory. It’s for a hands-on technical leader who codes, builds, and ships AI to production — while shaping the future of the creator economy.
Job Type: Part-time
Pay: From $50,000.00 per year
Expected hours: 10 – 15 per week
Benefits:

 Flexible schedule
 Paid time off
 Professional development assistance

Work Location: Remote