AI/ML Engineer - Remote

Overview

Tamber is an AI-powered assistant built for musicians, designed to streamline workflows and enhance creativity by handling repetitive tasks. We believe AI should assist artists—not replace them—allowing musicians to focus on making music instead of getting lost in technical processes. Tamber helps with everything from songwriting and arrangement to production, DAW control, and intelligent music discovery.

In Short

• Architect, train, and deploy large-scale machine learning models for music analysis and discovery.
• Develop and optimize vector models and LoRA-fied RAG models for AI applications.
• Work on gesture recognition models for intuitive music control.
• Design robust training pipelines for audio and MIDI-based AI models.
• Ensure seamless integration of AI models with Tamber’s systems.
• Write high-quality, scalable code and contribute to core repositories.
• Optimize inference times and memory usage for real-time performance.
• Research and implement advancements in AI for music.

Requirements

• 3+ years of hands-on experience developing machine learning models.
• 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 and face identification models.
• Experience with multimodal AI models (text + audio + vision).
• Strong engineering fundamentals and ability to write production-grade ML code.
• Ability to work independently and own complex AI features.
• A deep passion for music and technology.

Benefits

• Be part of the future of music with a mission-driven team.
• Shape a product from the ground up and influence major technical decisions.
• Competitive compensation of $180,000-$190,000 based on experience.
• Flexible time off with an open PTO policy.
• Remote-first culture, work from anywhere.