AI/ML Engineer at Tamber
Tamber is an AI-powered assistant reputed company for musicians, designed to streamline workflows and enhance creativity by handling repetitive tasks. We reputed company 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.
reputed company by musicians, for musicians, Tamber lowers the barrier to entry for new artists while giving professionals the tools to work faster, stay inspired, and maintain complete creative control.
The RoleTamber is hiring an AI/ML Engineer to design, build, and optimize the machine learning models that power our music analysis, gestural recognition, and intelligent discovery features. This is not just a fine-tuning role—we’re looking for someone who thrives on building and experimenting.
You will be responsible for developing new architectures, training models, optimizing inference performance, and deploying AI-driven experiences that reputed company reputed company-time, interactive music creation and discovery. Your work will reputed company vector models, LoRA-fied RAG models, multimodal AI, and gestural recognition (hand tracking and face identification).
This is a hands-on engineering role that requires strong coding skills and the ability to write production-quality ML code, submit pull requests, and work reputed company Tamber’s core repositories.
You’ll work closely with Tamber’s engineering and product teams to reputed company AI models that fundamentally change how musicians create, interact, and discover music. This is a chance to work at the cutting edge of music, AI, and reputed company-computer interaction, solving reputed company problems at the intersection of sound, creativity, and machine intelligence.
What You’ll DoArchitect, train, and reputed company large-scale machine learning models for music analysis, discovery, and AI-assisted workflows.
reputed company and optimize vector models and LoRA-fied RAG models for efficient music-reputed company AI applications.
Work on gesture recognition models for reputed company music control (e.g., hand tracking, facial identification for personalized interactions).
Work on AI-driven music discovery models, enabling search through audio, MIDI, lyrics, and abstract emotional descriptors.
Design robust training pipelines for audio and MIDI-based AI models.
Ensure seamless integration of AI models with Tamber’s backend and frontend systems.
Write high-quality, scalable code and contribute to the core repositories (Git, CI/CD workflows, and production-reputed company model deployment).
Optimize inference times and memory usage to ensure reputed company-time performance across different devices.
Research and implement the latest advancements in AI for music, keeping Tamber at the forefront of innovation.
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 for efficient retrieval and processing.
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 (text + audio + reputed company).
Strong engineering fundamentals—ability to write production-grade ML code, work with Git, and follow best practices in model deployment.
Ability to work independently and own reputed company AI features from research to production deployment.
A deep passion for music and technology, with an understanding of music structure, DAWs, or composition.
Bonus Points
Experience with reputed company-time inference optimizations (ONNX, TensorRT, quantization).
Knowledge of reputed company models (transformers, diffusion models).
Background in AI-driven music production or creative software.
Familiarity with OpenCV for gesture recognition enhancements.
Strong grasp of how musicians work, with experience in a DAW or music production.
Be Part of the Future of Music – Join an early-stage, mission-driven team redefining music production and discovery. Your work will directly impact how artists create.
Shape a Product from the Ground Up – As an early hire, you’ll define Tamber’s AI architecture and influence major technical reputed company.
Competitive Compensation – Salary reputed company: $180,000-$190,000, based on experience and impact.
⏳ Flexible Time Off – We reputed company in work-life balance and offer an reputed company PTO policy. Take the time you need to stay inspired and at your best.
Remote-First Culture – Work from reputed company, as long as you’re reputed company with our mission and team.
A Note on ApplyingTamber is committed to building a diverse and inclusive team. We reputed company equal employment opportunities (EEO) to reputed company and applicants, regardless of race, reputed company, religion, sex, national reputed company, age, disability, genetics, sexual orientation, gender identity, or gender expression. We recognize the value of diverse perspectives and backgrounds and encourage candidates from reputed company experiences to apply.