AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. We have a lab, and we also power our own models in our own proprietary inference environment. Our models serve 500M+ inference calls monthly, and process nearly 2 million hours of audio daily. The Voice AI space is at an inflection point; we’re looking for the best talent we can find to join a rapidly scaling team that's defining the future of the industry.
We are one of the most capital-efficient AI companies on the planet - and are rapidly approaching $1M ARR per employee. We sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. We have thousands of customers building with us including the top startups and world-renowned enterprises, and are serving at tremendous scale: we process nearly 2 million hours of audio daily and handle more than 15 million API calls every day. This is a rare growth-stage opportunity where the business is proven, the revenue is durable, and the growth trajectory is steep and getting steeper. We have a super flat culture and expect our employees to be deeply intimate with the details at all levels.
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. 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.
AssemblyAI builds the foundational speech models behind the Voice AI products our customers build. The people who train those models and build the systems that serve them are some of the hardest people in tech to hire; and we need to hire a lot more of them in 2027.
We’re looking for a Senior Technical Recruiter to own hiring for our Research team and a portfolio of senior Engineering roles: Researchers, Research Engineers, and ML Engineers. You’ll work directly with our research and engineering leaders, and you’ll be expected to understand the work well enough to find, assess, and close people others can’t.
What You’ll Do- Own full-cycle recruiting for Research and senior Engineering roles, from intake through offer and close
- Build deep, outbound-first pipelines: map talent at frontier labs, speech and audio teams, and academic groups; track publications, open-source contributors, and conference speakers
- Partner with research and engineering leaders to define profiles, calibrate on bar, and design quality, efficient interview loops
- Run thoughtful screens with technical candidates and give hiring managers sharp, evidence-based reads
- Lead complex closes: competing offers from large labs, equity conversations, and international candidates, in partnership with the People team
- Build long-term relationships with candidates who aren’t ready to move yet
- Use data and AI tooling to work faster: smarter sourcing, cleaner Greenhouse pipelines, and clear reporting on funnel health
- Help the team scale: interviewer training, structured kits, and a candidate experience that reflects how much we care about the work
- 5+ years of technical recruiting, with a track record of hiring ML researchers, research engineers, or ML/infrastructure engineers at AI labs, AI-native startups, or top tech companies
- A strong outbound sourcing practice and a network in the ML/AI research community
- Enough technical fluency to talk credibly about model training, evaluation, and inference with researchers, and to tell a strong profile from a keyword match
- Experience closing senior, sought-after candidates against competing offers, including equity-heavy packages
- Comfort with Greenhouse, LinkedIn Recruiter, JuiceBox (or similar), and modern AI sourcing tools
- Self-direction: you find the highest-impact work and do it without waiting to be asked
Pay Transparency:
AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity across our team. Our salary ranges are set to be competitive for our size, stage, and industry, and reflect just one component of the full compensation, benefits, and rewards we offer.
Salary determinations consider a variety of factors, including relevant experience, technical depth, skills demonstrated during the interview process, and maintaining internal equity with peers on the team. The range shared below represents a general expectation for the posted position. However, we are open to considering candidates who may fall above or below the outlined experience level—in those cases, we will communicate any adjustments to the expected salary range.
The range provided applies to candidates located in the United States. For candidates outside of the U.S., compensation ranges may differ; any adjustments will be communicated throughout the interview process.
Compensation: $170,000–$200,000
The expected cash compensation for this role is listed above. Our total compensation package includes competitive equity grants and 100% employer-paid benefits.
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Keep exploring AssemblyAI
Transcribe: Speech-to-Text | Streaming Speech-to-Text
Understand: Speech Understanding | LLM Gateway
Interact: Voice Agent API | Dictation API
Try our models in the Playground
See how 50+ LLMs rank on real voice tasks: Voice Standard Bench
Watch us on YouTube
Skills Required
- 5+ years of technical recruiting experience
- Track record hiring ML researchers, research engineers, or ML/infrastructure engineers at AI labs, AI-native startups, or top technology companies
- Strong outbound sourcing practice and network in the ML/AI research community
- Technical fluency in model training, evaluation, and inference
- Experience closing senior, highly sought-after candidates against competing offers, including equity-heavy packages
- Experience with Greenhouse, LinkedIn Recruiter, JuiceBox or similar tools, and modern AI sourcing tools
- Ability to work independently and identify high-impact recruiting priorities
AssemblyAI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AssemblyAI and has not been reviewed or approved by AssemblyAI.
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Fair & Transparent Compensation — Pay is considered on par with market, with indications of competitive salaries across multiple roles and seniorities. Compensation appears especially strong in sales and higher-seniority technical positions.
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Healthcare Strength — Premium medical, dental, and vision coverage is emphasized, with premiums covered for employees and their families. This positioning makes healthcare a standout element of the overall package.
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Equity Value & Accessibility — Employees are described as receiving generous equity grants that add long-term upside beyond salary. Equity is presented as a core and broadly available component of total rewards.
AssemblyAI Insights
What We Do
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. 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.
Why Work With Us
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. F
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