Bland
Machine Learning Researcher, Audio
$160K–$280K
San Francisco · Full-time · Posted Apr 20, 2026
- Visa sponsorship
- Bland participates in E-Verify; all new hires must complete Form I-9, and employment is verified through E-Verify.
About the job
Research, train, and deploy speech and audio models—including text-to-speech, speech-to-text, and neural audio codecs—for real-time enterprise voice agents.
What you'll do
- Build and optimize expressive, low-latency TTS systems and robust ASR models.
- Research neural audio codecs and scalable training methods for speech generation.
- Run controlled experiments and collaborate with engineering teams to deploy models in production.
What they ask for
- 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, with knowledge of inference optimization.
- Track record of controlled experiments and meaningful ablations.
Nice to have
- Large-scale distributed training experience; speech or language AI research publications or open-source contributions.
- Background in real-time speech systems or telephony; PhD in ML, AI, or a related field, or equivalent research impact.
Pay
$160,000 to $280,000 USD base salary
Tools
TTS, ASR, neural audio codecs, distributed GPU clusters, quantization
AI focus
Foundational AI research and development for speech-to-text, large language models, neural audio codecs, and text-to-speech, including training, inference optimization, and production deployment.
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