Join a small and mighty team at Supernormal working on pulling the future of work closer to the present. We’re a rapidly growing platform solving a real need for thousands of people every day. As an early engineer at Supernormal, you’ll play a major role in building product experiences—and a workplace—people love. Together, we’ll help save real humans countless hours of manual work so they can spend their time sending satellites to space, or running their local government.
Machine learning engineers at Supernormal build the AI that superpowers the core product experience for people’s meetings including transcription, note generation, and task automation. The AI team builds reliable and secure services that use the most advanced AI models in the market to generate millions of high quality meeting notes every month to a rapidly growing customer base. MLEs at Supernormal train and deploy custom ML models, engage deeply with LLMs through prompt engineering, fine-tuning, and neural search, and define & improve quality measures in service of our mission to make people more productive. You’ll also work closely with our product engineers and designers to ship user-facing product experiences powered by AI output.
Supernormal is a well-funded seed-stage startup backed by EQT Ventures, Balderton Capital, and byFounders VC. We’re growing rapidly in a shaky market which makes us one of the lucky ones. If you want to operate with high autonomy in an environment where you’ll get to flex your skills to build great products with great people, Supernormal is your place.
Competitive salary
Stock options
Full healthcare coverage (Medical, Dental, and Vision)
Flexible hybrid working model
WFH budget to make sure you have everything you need to do your best work
✈️ Annual team-wide offsite to someplace cool
Education credit (up to $500 per year)
Unlimited PTO (minimum 4 weeks)
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