AssemblyAI

AssemblyAI provides speech AI APIs that transcribe and extract insights from audio to make voice data searchable and actionable. The company delivers cloud-hosted speech-to-text and audio intelligence capabilities—including summarization, sentiment analysis, topic detection, content moderation, and PII redaction—via developer APIs and a no-code playground. Its technology stack centers on proprietary speech recognition models and LLM-based frameworks (e.g., LeMUR) for applying large language models to transcriptions. AssemblyAI operates as a B2B SaaS/API provider serving developers and companies such as CallRail, Fireflies, and Spotify. The platform targets voice-data use cases across contact centers, media, and analytics with integrations appropriate for product and developer workflows.

saasassemblyai.com

AssemblyAI

saasassemblyai.com

HQSan Francisco, US

Team Size104

Open Jobs12

Total Funding$113M

Latest Fundraise2 years ago

TL;DR

What they do: Speech AI APIs for transcription and audio intelligence (summarization, sentiment, moderation, PII redaction, etc.)

Founded: 2017

HQ: San Francisco, CA

Total funding: ≈ $115M

Core customers: Developers and enterprises (examples: CallRail, Fireflies, Spotify)

Company Overview

Problem Domain

Speech recognition and speech understanding for developers and enterprises across contact centers, media, and analytics.

Founded

2017

Industry

Software Development

Tech Stack

Proprietary speech models

LLM-based frameworks

Funding Track Record

Series A- 2022-03-04

$28M

Series A announced March 4, 2022 with participation from Y Combinator, John & Patrick Collison, Nat Friedman, and Daniel Gross

Series B- 2022-07-14

$30M

Series B announced July 14, 2022

- 2023-12-04

$50M

December 4, 2023 round; brought disclosed total capital raised to roughly $115M

Investor Signal

“Backed by top-tier VCs and notable angels (Accel, Insight Partners, Y Combinator, Nat Friedman, Daniel Gross, John Collison)”

Founders

What we do

TL;DR

Company Overview

Funding Track Record

Founders

What we do

AssemblyAI

saasassemblyai.com

AssemblyAI

saasassemblyai.com

HQSan Francisco, US

Team Size104

Open Jobs12

Total Funding$113M

Latest Fundraise2 years ago

TL;DR

What they do: Speech AI APIs for transcription and audio intelligence (summarization, sentiment, moderation, PII redaction, etc.)

Founded: 2017

HQ: San Francisco, CA

Total funding: ≈ $115M

Core customers: Developers and enterprises (examples: CallRail, Fireflies, Spotify)

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Company Overview

Problem Domain

Speech recognition and speech understanding for developers and enterprises across contact centers, media, and analytics.

Founded

2017

Industry

Software Development

Tech Stack

Proprietary speech models

LLM-based frameworks

Funding Track Record

Series A- 2022-03-04

$28M

Series A announced March 4, 2022 with participation from Y Combinator, John & Patrick Collison, Nat Friedman, and Daniel Gross

Series B- 2022-07-14

$30M

Series B announced July 14, 2022

- 2023-12-04

$50M

December 4, 2023 round; brought disclosed total capital raised to roughly $115M

Investor Signal

“Backed by top-tier VCs and notable angels (Accel, Insight Partners, Y Combinator, Nat Friedman, Daniel Gross, John Collison)”

Founders

What we do

Join the Team

Senior Researcher

On-SiteFully, Valais, CH

On-Site • Fully, Valais, CH

Design and develop 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.
Develop 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.

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

AI Researcher

ContractBelgrade, RS

Contract • Belgrade, RS

Machine Learning Engineer

Full-timeBelgrade, RS

Full-time • Belgrade, RS

Mobile Developer

Full-timeBelgrade, RS

Full-time • Belgrade, RS

Software Engineer

Full-timeNew York, US

Full-time • New York, US

Backend Developer

InternshipNew York, US

Internship • New York, US

AI Researcher

Part-timeJerusalem

Part-time • Jerusalem

Strong research background in speech recognition, with deep understanding of classic streaming architectures (RNN-T, CTC) and modern attention mechanisms.
Expertise in LLMs and language modeling, with ability to bridge speech and language model research.
Proficiency in PyTorch and JAX/Flax with ability to move fluidly between frameworks and implement complex 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-ready solutions; comfort working at the interface of research and engineering.
Excellent communication skills—can articulate complex technical ideas clearly and collaborate effectively across teams.