Senior Researcher

Why the company

The company 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, the company 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.

About the Role

You’ll join the team of researchers and engineers behind the company’s foundational speech models. The team trains, fine-tunes, and analyzes these models, and builds the tooling to do that at scale. Your work will become the foundation for every customer around the world who builds Voice AI on our platform.

We’re passionate about Speech AI and the real-world products it makes possible, and we know the field moves fast. Keeping our models ahead means problems can’t stall at team boundaries, so this role is cross-functional by design. You’ll work closely with research, infrastructure, and production engineering. Your job isn’t to hand problems off between those teams. You’ll learn enough of each domain to follow a problem all the way to resolution.

What You’ll Do

• Research and develop new methods that push the frontier of Speech AI.

• Improve the data our models learn from: investigate quality issues, build tooling that surfaces them, and turn 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.

• Partner with researchers and engineers to turn research prototypes into production-ready systems, modernizing model architectures and inference stacks along the way.

• Find and fix performance bottlenecks across our training stack.

What You’ll Need

• Hands-on experience training or adapting (e.g., fine-tuning) frontier speech or multimodal language models.

• Discipline in measurement and analysis. You stay skeptical of results, whether they come from you or a coding agent, until they hold up. You treat an unexplained improvement as a problem and dig in until you understand it.

• Appetite for the whole pipeline. You bring deep expertise in your core area, but when a customer issue traces back to a data problem or an evaluation blind spot, you want to chase it down yourself. The people who thrive here went deep in one area first, then kept expanding outward.

• Enthusiasm for building and sharing tools. Working at the frontier means the tools you need often don’t exist yet. You enjoy building your own for performance analysis and data processing, and you share them so their value compounds across the team.

• Self-direction. You find problems on your own, run investigations with a high degree of autonomy, and focus on the work with the highest impact.

• Strong Python skills.

Pay Transparency

The company 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. 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 job description. In this case, we will communicate any updates in the expected salary range.

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

Salary range: $270,000 - $310,000

Using AI in your interview

If you’re selected for an interview, please read our Candidate AI Guidance . It explains how you can use AI at each stage of our process, from your application and take-home to the interviews themselves.

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Keep exploring the company

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