With tools like ChatGPT taking the world by storm, its clear that the spotlight is now shining on the Generative AI space. However, its ultimate hurdle is now a self-compounding problem: with infinite options for messaging now available to all marketers how do we know what will actually work?
Your words matter, was built to ensure that they resonate. Since 2021, weve been building a platform to help both the worlds largest brands and its next rising stars actually move, inspire, and drive their audiences forward.
In reality, weve removed the uncertainty of writing performance copy, and are the first to bring copy intelligence into play. Weve combined our own language models, predictive analytics, custom AI, and branding-specific tools to help brands rise above the noise in ways they couldnt before.
Weve built the brain behind all marketing messaging, no matter where it lives and how you create it (with AI or not). And now were looking to you to help change the world with us!
Our supporters and believers
Marketers and writers create their best, record-setting work across companies like Amazon, Red Bull, the New York Times, Ted Baker, Sony, and more.
Just this month, weve crossed 1,000,000 active users on the platform.
Were also backed by Innovation Endeavors, founded by former CEO of Google, Eric Schmidt, and Dror Berman. In 2022, we raised our Series B for $21 million and are on track to continue significant growth across all parts of our business.
With 2,000+ new sign-ups to our platform every day, our momentum is only growing. Youll have an opportunity to directly impact where we are headed as a company.
What were looking for
We are looking for a senior machine learning engineer with a passion for developing production-grade software services and for solving interesting problems using Large Language Models (LLMs), data and creative thinking. As part of NLP team, reporting to the CTO, you will work closely with other engineers, scientists, and product managers on making marketing language engine the best of its kind.
Responsibilities
Extend, optimize, scale and maintain LLM-based inference engines.
Analyze, process, and facilitate the derivation of insights from our ever-growing data resources.
Work on applied ML/NLP research projects solving challenging problems by fine-tuning LLMs, prompt engineering and using the best data and latest tools for the job.
Requirements
BA or BS degree in Computer Science.
2+ years experience as a software engineer developing production grade systems.
2+ years experience in Python development.
Experience as an ML/NLP engineer with modern ML frameworks like PyTorch and/or LLM APIs like OpenAIs GPT. Or: MSc/PhD in Computer Science with a focus on ML/NLP.
Comfortable working in a fast-paced, dynamic work environment.
Dependable, gets the job done.
An excellent team player.
Advantage: High proficiency in English.
