Research Scientist in Machine Learning

2 days ago

Boston MA, United States Lumicity Full time

Machine Learning Scientist Generative Audio (Series C, Cutting-Edge Research Environment)
Join a research-driven ML team building the most advanced generative audio technology in the world. This is a rare chance to shape the future of music creation where cutting-edge model development meets real creative impact for millions of users globally.

Were a well-funded Series C startup backed by top-tier investors (Lightspeed, Menlo) with a ~120-person team. As an ML Scientist, youll work directly with the founding team and an experienced group of research scientists and engineers. Youll run your own research initiatives, explore new approaches for generative audio, and train models at a scale very few startups offer an H100-per-scientist ratio of well over 100.

Owning and running independent research projects that push the boundaries of generative audio
Training state-of-the-art models using PyTorch
Optimizing training and inference pipelines on hundreds of H100s
Revolutionary platform: Help power the worlds leading AI music creation system used by everyone from beginners to professional artists
Your work directly improves the creative output of millions
Access to one of the most GPU-rich environments in any startup
Work closely with co-founders on high-leverage research and technical strategy

3+ years of ML research experience
~ Demonstrated success training state-of-the-art generative models
~ Prior work in audio or music ML (industry or published research)
~ Advanced studies in ML, audio DSP, or related fields (Masters or PhD preferred)
~ Strong PyTorch skills and solid baseline software engineering ability
~ This is an ideal role for someone whos excited by deep research, massive scale, and the chance to define the next era of generative audio.

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