Our mission at Compose.ai is to amplify human potential by bringing intelligence to human-computer communication. This is a hard problem but we believe deeply in the mission and lean into audacious goals.
Our core product is a freemium Chrome extension that helps automate your writing using AI. You know how Gmail autocompletes your sentences for you? It's like that, except it's available everywhere, across all of your devices and tools. So whether you're writing an email in Superhuman, replying to your customers on Intercom, or writing documentation on Notion, compose.ai is there. We are currently in a private beta with over 6,000 signups. We created our own proprietary AI model that is real-time, personalized, and adapts to wherever you're typing. If you believe AI is going to change the way we live and the way we write, then we would love to talk to you.
At Compose AI, we help people type less and live more. Isn't it crazy that people are still typing every word of every letter on 99% of the websites and programs they use every day? That's why we built the best-in-class autocomplete, but we didn't stop there—Compose AI also lets you rewrite your sentences in different tones or styles and can even generate whole paragraphs and other pieces of copy. We are a fast-growing team backed by YCombinator, Craft Ventures, Sequoia, along with founders from Kayak, Hubspot, Vercel, and Honey. Join us in our mission to make AI an extension of the human.
As a Senior Machine Learning Engineer at Compose AI, you will own projects from 0 to 1 as we continue to launch new products and features. This is not the typical ML engineer role. We are working on core innovations to the way people use their computers on a day-to-day basis. Reinventing the way people interact with text can be subtle and precise, and there are often no instruction manuals for how to do so.
You will be creating unique NLP / ML models that push what is currently possible. For example, working on creating a personalized model for every customer in a cost-effective way. Doing personal question answering. Fulfilling users’ requests before they even ask. Neural search, etc.
The ideal candidate is technology agnostic and enjoys picking up new technologies.
We are creating real-time domain-adaptable language models that are serving inferences on every keystroke to our Chrome extension.