AssemblyAI is hiring a

Web3 Software Engineer Python

AssemblyAI is an AI company - we build powerful models to transcribe and understand audio data, exposed through simple APIs.

Hundreds of companies, and thousands of developers, use our APIs to both transcribe and understand millions of videos, podcasts, phone calls, and zoom meetings every day. Our APIs power innovative products like conversational intelligence platforms, zoom meeting summarizers, content moderation, and automatic closed captioning.

We’ve been growing at breakneck speed, and are backed by leading investors including Y Combinator’s AI Fund, Patrick and John Collision (Founders of Stripe), Nat Friedman (Former CEO of GitHub), and Daniel Gross (Entrepreneur & Investor in companies including GitHub, Uber, Coinbase, SpaceX, Instacart, Notion, and Cruise Automation).

AssemblyAI’s Speech-to-Text APIs are already trusted by Fortune 500s, startups, and thousands of developers around the world, with well-known customers including Spotify, Algolia, Dow Jones, The Wall Street Journal, and NBCUniversal. As part of a huge and emerging market, AssemblyAI is well on its way to becoming the leader in speech recognition and NLP.

Join our world-class, remote team and help us build an iconic deep learning company.

Our Team

We are a fully remote team made up of problem solvers, innovators and top AI researchers with 20+ years of experience in Machine Learning, Speech Recognition, and NLP from places like DeepMind, Google, Meta, Amazon, Apple, and Cisco. Our culture is super collaborative, low-ego, transparent, and fast-paced. We want to win - and have a flat organization where everyone can openly share ideas (regardless of their title or position) in order to get the best idea.

As a remote company, our team members are given a lot of trust and autonomy to work where and how they want. We look for people to join our team who are ambitious, curious, and self-motivated, and we put a lot of trust and autonomy into everyone on our team. We want to empower everyone to do their best work with whatever tools, structures, or resources they need to perform at their highest potential.