Most LLMs write decent lyrics in English. In Spanish, they fall apart. Wrong grammatical gender, awkward register, no cadence, zero cultural authenticity. The gap isn't a UX problem. It's a corpus and ML problem. We're hiring an ML engineering agency or team to fix it! Mandatory capabilities: → Demonstrable LLM fine-tuning experience (Llama, Mistral, Qwen, or others) → Production RAG architectures → Spanish NLP (not only English) → Full-stack delivery (frontend, backend, infra) → Generative model evaluation, ideally in creative domains → Prior work on AI-assisted creative products (music, literature, video) → Projects where subjective quality is the primary KPI → IP and copyright awareness in training datasets → Bilingual Spanish / English team or an individual engineer. Reviewing submissions on a rolling basis. DM me here with your details + portfolio

MusicLM Engineer - Job Description Hey AAA Devs: I'm looking for someone who builds AI music systems. - Not someone who calls APIs. - Not someone who writes research papers. - Someone who has designed and shipped a pipeline from data to training to inference to product. Silent Era is a music label built with AI as the production engine. We're generating artist-consistent audio content, training vocal models, and building the infrastructure to release music at a pace traditional labels can't match. The role sits at the core of that engine. This is not: - A data science role. - A research position. - A backend engineering gig. - A prompt engineering job. This is: - An applied ML systems architect with deep focus on audio and generative AI. What you'll work on: - Designing and operating the full music generation pipeline. - Data preparation, model training, conditioning, inference optimization, and deployment to production. Not demos. Production. - You'll train and refine vocal models from real audio samples. - You'll iterate fast on quality and catch what the model gets wrong before it goes anywhere near a release. - The product angle matters. A lot. You need to understand how musicians think and how they use creative tools. What's useful vs. what's just "cool." If you've never thought about a creative workflow from the user's perspective, this isn't the right fit. We're building tools people will actually use to make music, not tech demos. I need to see two things before anything else: 1. A vocal cloning example you built. Show me the source audio and what you produced. I want to hear the delta. 2. A project where you trained or fine-tuned a vocal/audio model. Tell me what data you used, what tools, what infrastructure, and what you were trying to achieve. No portfolio, no conversation. This is the filter. DM me directly here to apply :-)

We're an AI music label building virtual artists that look, sound, and perform like real ones. We need someone who can craft hyper-realistic music videos with consistent character identity, frame-accurate lip-sync, and MTV-level cinematography, using frontier AI video models, not typical AI SaaS wrappers. Is this you? 1 -You are more than just a prompt engineer who happens to know how to generate AI Video, but consider yourself an AI-Native Video Artist. 2 - You can make the most out of the latest Video Models, and you are constantly experimenting with new tools. 3 - You know the difference between Kling, Runway, Pika, Luma, Veo, and exactly when to use each one. Actual Video editing skills are major bonus points. If your portfolio makes people question what's real, we want to talk. 📩 DM to apply. Send your 3 best AI videos. No reel, no conversation.

I'm not looking for another "automation guy." I need a technical builder who can own the entire tech side of a High-Ticket AI Consulting agency. What you'll own: - Architecture & infrastructure decisions - DevOps, deployments, and server management - Code repositories and technical documentation - AI automation builds (beyond just drag-and-drop tools) - Technical strategy and client delivery You're a fit if: - Fullstack Developer + AI Stack Professional. - You can spin up infrastructure, manage repos, and ship production-grade solutions - You think beyond n8n/Make — you know when to code and when to use no-code - You're comfortable being the technical decision-maker, not waiting for one - You want to take ownership and grow with the business. This is a partner-track role. Equity/profit-share conversation on the table for the right person. DM Me for details.