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AI/ML Engineer

AI-powered assistant built for musicians, designed to streamline workflows and enhance creativity by handling repetitive tasks.
$180,000 - $190,000
Machine Learning
Senior Software Engineer
Remote
3+ years of experience
AI · Music
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Description For AI/ML Engineer

Tamber is revolutionizing the music industry with their AI-powered assistant designed specifically for musicians. As an AI/ML Engineer at Tamber, you'll be at the forefront of developing cutting-edge machine learning models that power music analysis, gestural recognition, and intelligent discovery features. This role offers a unique opportunity to work at the intersection of music, AI, and human-computer interaction.

You'll be responsible for architecting, training, and deploying large-scale machine learning models, working with vector models, LoRA-fied RAG models, and multimodal AI systems. The position requires strong Python skills and extensive experience with modern ML frameworks. You'll be working on everything from audio processing to gesture recognition, making music creation more intuitive and accessible.

The ideal candidate brings 3+ years of hands-on ML experience, strong engineering fundamentals, and a deep passion for music technology. You'll be joining an early-stage, mission-driven team where you can shape the product from the ground up and make significant technical decisions that impact how artists create music.

Working at Tamber offers competitive compensation ($180,000-$190,000), equity, flexible time off, and a remote-first culture. This is more than just a job – it's an opportunity to be part of shaping the future of music creation and discovery. The company values diversity and provides equal employment opportunities to all candidates.

Last updated 4 months ago

Responsibilities For AI/ML Engineer

  • Architect, train, and deploy large-scale machine learning models
  • Develop and optimize vector models and LoRA-fied RAG models
  • Work on gesture recognition models
  • Work on AI-driven music discovery models
  • Design robust training pipelines for audio and MIDI-based AI models
  • Ensure seamless integration of AI models
  • Write high-quality, scalable code
  • Optimize inference times and memory usage
  • Research and implement the latest advancements in AI for music

Requirements For AI/ML Engineer

Python
  • 3+ years of hands-on experience developing machine learning models for production
  • Strong Python skills including experience with PyTorch, TensorFlow, or JAX
  • Experience with vector models and LoRA-fied RAG models
  • Expertise in audio files, MIDI processing, and signal processing techniques
  • Familiarity with gestural recognition, hand tracking, and face identification models
  • Experience with multimodal AI models
  • Strong engineering fundamentals
  • Ability to work independently
  • Deep passion for music and technology

Benefits For AI/ML Engineer

Equity
  • Flexible Time Off
  • Remote Work
  • Equity