[Hiring] Machine Learning Engineer @MWDN

Role Description

We are looking for an Applied Machine Learning Engineer specializing in audio and generative AI to take ownership of the workflow for an AI-native music label developing advanced tools for producing and releasing Spanish-language music. This is a practical engineering position rather than a research, analytics, or prompt-only role.

• Fine-tune and improve an existing singing-voice conversion and cloning model, increasing fidelity from 70–75% to 90% or higher.
• Reproduce expressive vocal characteristics beyond basic timbre.
• Evaluate different improvement strategies for the singing voice model.
• Take ownership of an existing validated LoRA fine-tune for a Spanish-speaking voice.
• Ensure accurate reproduction of a Mexican accent and correct pronunciation.
• Containerize the model and deploy it as a serverless inference endpoint.
• Develop a proprietary Spanish-language lyrics-generation model.
• Integrate the completed model into the existing frontend.

Qualifications

• 3+ years of experience training and deploying deep learning models in production, preferably within audio or NLP.
• Hands-on experience in at least two of the following areas:
  • Voice cloning or Singing Voice Conversion (SVC)
  • Text-to-Speech model fine-tuning
  • LLM fine-tuning using techniques such as LoRA, DPO, and RAG
• Strong proficiency in PyTorch.
• Practical experience with GPU cloud infrastructure, such as RunPod or AWS, as well as Docker and serverless inference.
• A rigorous, evidence-based approach to model evaluation.
• Native or strong professional proficiency in Spanish.

Requirements

• A music background or experience with music-production tools and workflows.
• Experience with singing-voice synthesis solutions.
• Previous experience working with licensed celebrity or artist voices.

Benefits

• People-first management with minimal bureaucracy.
• A friendly company culture, proven by employees who choose to return.
• Flexible working hours.
• 29 days of PTO (18 working days per year plus all national holidays).
• 10 paid recovery days.
• Full financial and legal support for independent contractors.
• Free English classes, with native speakers or Ukrainian teachers.
• Dedicated HR support.