About the role#
As a Research Intern at Bland, you will work on our voice stack, covering speech-to-text, large language models, neural audio codecs, and text-to-speech. You will work alongside our research team on active problems. We scope your internship around a single research question with the goal of producing results worth shipping or publishing. You will have the opportunity to see your work reach production systems that handle millions of calls.
What you'll do#
- Own a research question from literature review through implementation, experimentation, and results.
- Design ablations to isolate factors that drive model improvements.
- Present your findings to the research team and defend your methodology.
- Train and evaluate models on large-scale, real-world telephony audio, including complex accents and background noise.
- Use our distributed GPU infrastructure to run experiments.
- Collaborate with engineers to move successful research into production.
- Focus on areas such as expressive text-to-speech, neural audio codecs, ASR robustness, and real-time inference.
What you'll need#
- Currently pursuing a MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Experience with self-supervised, generative, or multimodal modeling.
- Hands-on work with speech or audio models like TTS, ASR, or codecs.
- Fluency in PyTorch and comfort working within a real codebase.
- Ability to run experiments on GPU clusters independently.
- A strong intuition for audio quality and synthetic speech.
Location & details#
- This is a full-time, on-site role located in San Francisco, California.
- The internship term is rolling.
About Bland
Bland operates in the telecommunications sector. The company builds AI phone agents for enterprise customers. It was founded in 2023 and is based in San Francisco. The firm maintains a staff of 51 to 200 employees.
How to get in at Bland
Applying early at Bland gives you a distinct advantage because recruiters review applications before the pile grows. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you can be among the first to submit your materials. This helps you avoid the frustration of applying to a role that has already been filled. Reaching out to the recruiter directly often improves your response rate compared to submitting through a general queue. Intern Insider surfaces the recruiters behind the company roles so you can ask about the position or request a referral. This direct approach shows you have done your homework and are serious about joining the team.
