Machine Learning Researcher, Audio

Machine Learning Researcher at Bland.com to work on foundational research and development across voice stack: speech-to-text, large language models, neural audio codecs, and text-to-speech. Building and scaling next-generation TTS systems, advancing speech-to-text modeling, pioneering neural audio codecs, and developing scalable training pipelines.

Requirements

• Experience with self-supervised learning, multimodal modeling, or generative modeling.
• Hands-on experience building or scaling TTS, STT, or neural audio codec systems.
• Experience training and serving large models on modern accelerators.
• Knowledge of inference optimization techniques, including quantization, kernel optimization, and memory efficiency.
• Strong intuition for audio quality, prosody, and conversational dynamics.
• Track record of designing controlled experiments and meaningful ablations.
• Experience with large scale distributed training.
• Research publications or open source contributions in speech or language AI.
• Background in real-time speech systems or telephony.
• PhD in ML, AI, or a related field, or equivalent research impact.

Benefits

• Healthcare
• Dental
• Vision
• Meaningful equity in a fast-growing company
• Every tool you need to succeed
• Beautiful office in Jackson Square, SF with rooftop views