Machine Learning Researcher role working on speech-to-text, LLMs, neural audio codecs, and text-to-speech for Bland's voice agent stack, from training on GPU clusters to production inference serving millions of calls per day. Focus areas include TTS prosody modeling, ASR robustness, and codec compression. Candidates should have experience with self-supervised learning, speech datasets, and inference optimization such as quantization.
Machine Learning Researcher, Audio
Location: San Francisco, CA or Remote
At Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Based in San Francisco, we are a fast-growing team reimagining how customers interact with businesses through voice. We have raised $100 million from leading Silicon Valley investors, including Emergence Capital, Scale Venture Partners, Y Combinator, and founders of Twilio, Affirm, and ElevenLabs.
Voice is quickly becoming the primary interface between businesses and their customers. We are building the models and infrastructure that make those interactions feel natural, reliable, and genuinely human.
As a Machine Learning Researcher at Bland, you'll be working on foundational research and development across the core components of our voice stack: speech-to-text, large language models, neural audio codecs, and text-to-speech. Your work will define how our agents understand, reason, and speak in real time at enterprise scale.
This is not a narrow research role. You will take ideas from theory to large-scale training to production inference systems serving millions of calls per day. You will design new modeling approaches, validate them with rigorous experimentation, and collaborate with engineering teams to deploy them into real customer environments.
Build and Scale Next-Generation TTS Systems
Advance Speech-to-Text Modeling
Pioneer Neural Audio Codecs
Develop Scalable Training Pipelines
Run Rigorous Experiments
Deep Research Foundations
Expertise in Voice Modeling
Systems and Hardware Awareness
Experimental Rigor
Builder Mentality
If you are energized by building and scaling TTS models, pioneering neural audio codecs, and pushing the boundaries of speech-to-text systems, we would love to hear from you.
Additional Information
Bland is an equal opportunity employer. We are committed to proving equal employment opportunities to all qualified applicants and employees and do not discriminate based on any legally protected characteristic.
Bland participates in the E-Verify employment verification program. All new hires are required to complete the Form I-9, and employment will be verified though E-Verify as part of the onboarding process.
Compensation: $160K - $280K
