Senior Research Engineer
Job Overview
Why AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences.
The Voice AI space is at an inflection point; we’re looking for folks truly excited to join a small team and help define the future of the industry.
Job Description
We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $600K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today.
That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact.
With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day.
This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything.
If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently.
The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need.
Key Responsibilities
- Why AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications.
- For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build, this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name.
- At times you'll train models, run evaluations, and analyze data yourself, both to deliver impact directly and to learn what's worth building to multiply the team's work.
- Improve the data our models learn from: investigating quality issues, building the tooling to surface them, and turning what you find into measurable accuracy gains.
- Analyze the accuracy of production models, build evaluation harnesses, and work out which improvements will matter most to customers.
- Familiarity with modern inference optimization techniques: continuous batching, KV-cache management, sharding strategies, quantization.
Required Skills and Qualifications
- Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences.
- Strong experience optimizing inference systems for production, ideally with LLMs or speech models.
- Strong Python skills; C++ or Rust experience for kernel-level work is a plus.
- Bonus Domain knowledge in Speech-to-Text: ASR architectures, audio processing, streaming inference.
- There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team.
- The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the .
Benefits and Perks
- Bonus Domain knowledge in Speech-to-Text: ASR architectures, audio processing, streaming inference.
- Pay Transparency: AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team.
- 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 provide.
- There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team.
USA Jobs Today role summary
Role Summary
Senior Research Engineer at AssemblyAI is a remote United States position and is listed as Full Time.
Why AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications.
Review the employer's original description and official application page before applying; USA Jobs Today organizes source-supported details for readability without changing stated requirements.
Application Checklist
- Review the stated qualifications, including: No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply! Strong experience optimizing inference systems for production, ideally with LLMs or speech models.
- Confirm that the official application page still lists the role as open.
- Verify the work location and any United States eligibility or work-authorization requirements.
- Tailor your resume to the responsibilities and qualifications stated by AssemblyAI.
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Work Location and Schedule
This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.
About the Company
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