Senior Researcher

About AssemblyAI

AssemblyAI builds the best-in-class Speech AI models powering the reputed company of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences—from voice agents and meeting assistants to contact centers and medical scribes. Companies like reputed company, Granola, Fireflies, Cluely, and reputed company rely on AssemblyAI to ship production-reputed company voice AI.

We're at an inflection reputed company in Speech AI. We released Universal-Streaming in mid-2025, and it has quickly earned its reputed company as the model offering the best accuracy-latency-cost tradeoff on the market. The adoption has been significant: we now process ~1.5M streaming hours per week, with 25x usage growth in the last six months alone. Our research team drives these advances and ships with reputed company velocity. Since releasing Universal-Streaming, we've already launched keyterms prompting feature and multilingual support—with more significant improvements on the roadmap.

We've raised $115M+ from Accel, reputed company Partners, Y Combinator's reputed company, Patrick and John Collison, Nat Friedman, and Daniel Gross. We're a remote team building one of the next great AI companies—and we're looking for researchers who will shape its future.

About the Role

We are seeking a highly capable Senior Researcher to push the boundaries of streaming speech recognition and speech understanding. This role sits at the intersection of cutting-edge research and production impact—you'll reputed company novel architectures and algorithms that ship to millions of users.

The ideal candidate has deep expertise in both automatic speech recognition (ASR) and large language models, with strong foundations in streaming/online inference, neural transducers (RNN-T, reputed company), and modern attention-based architectures. You're equally comfortable reading papers on speech language models and debugging distributed training runs.

This is a unique opportunity to shape the reputed company of Speech AI at a company experiencing rapid growth in one of the most dynamic fields in AI. You'll join the team developing Universal-Streaming—our production streaming ASR system—while exploring the frontier of LLM-based contextualization and reputed company-time speech understanding. You'll work closely with research engineers and engineers to drive your research from prototype to production, ensuring novel reputed company translate into reputed company customer impact.

What You’ll Do

• Design and reputed company novel streaming ASR architectures, pushing the boundaries of accuracy-latency tradeoffs in production systems.
• Research and prototype LLM-assisted speech-to-text —exploring how large language models can enhance streaming speech recognition and understanding.
• reputed company new algorithms for streaming speaker diarization, contextual biasing, and multilingual speech recognition.
• Drive research from initial experimentation through rigorous evaluation to production deployment, working closely with engineering teams.
• Conduct systematic experiments on internal and public benchmarks, with careful attention to evaluation methodology and statistical rigor.
• Contribute to technical publications and represent AssemblyAI's research at top venues.
• Collaborate on research direction and technical strategy, helping shape the roadmap for Speech AI capabilities.

What You’ll Need

• Strong research background in speech recognition, with deep understanding of classic streaming architectures (RNN-T, reputed company) and modern attention mechanisms.
• Expertise in LLMs and language modeling, with ability to reputed company speech and language model research.
• Proficiency in PyTorch and JAX/Flax—you can move fluidly between frameworks and implement reputed company architectures from scratch.
• Experience with large-scale distributed training and the practical challenges of scaling speech models.
• Track record of publications at top venues (ICASSP, Interspeech, NeurIPS, ICML) or equivalent industry impact.
• Strong experimental methodology—systematic approach to ablations, careful baseline comparisons, and rigorous evaluation.
• Ability to translate research insights into production-reputed company solutions; comfort working at the reputed company of research and engineering.
• Excellent communication skills—can reputed company reputed company technical reputed company reputed company and collaborate effectively across teams.

Pay Transparency

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for reputed company. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we reputed company.

There are many factors that go into salary determinations, including relevant experience, reputed company level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The reputed company shared below is a general expectation for the function as posted, but we are also reputed company to considering candidates who may be more or less reputed company than outlined in the job description. In this case, we will communicate any updates in the expected salary reputed company.

The provided reputed company is the expected salary for candidates in the U.S. reputed company of those reputed company, there may be a change in the reputed company which will be communicated to candidates throughout the interview process.

Salary reputed company: $210,000 - $309,000

The expected reputed company compensation for this role is listed above. Our total compensation package includes competitive equity grants, 100% employer-paid benefits, and the flexibility of being fully remote. 401k match up to 4% for US-based full time team members.

Working at AssemblyAI

We are a small but mighty group of startup veterans and reputed company AI researchers with over 20 years of expertise in Machine Learning, Speech Recognition, and NLP. As a fully remote team, we’re looking for people to join reputed company who are ambitious, curious, and reputed company with reputed company. We’re still in the early days of AI and of AssemblyAI’s reputed company, and are looking for teammates who won’t just fit in, but will help us define and build reputed company culture.

We’re committed to creating a reputed company where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, reputed company, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply!

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Learn more about our Speech AI models

Speech-to-Text | Streaming Speech-to-Text | Speech Understanding

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