We’re on a mission to transform spoken communication for individuals, teams and organizations of any size. Meetings may be our most information-rich channel for work, but suffer from a lack of structure and documentation. At Supernormal, we’re solving this problem with focus, design and craft.
We’ve been working on this since 2019 and have customers like Snap, Salesforce, Replay, Gitcoin, Pinterest and thousands more on this journey with us. Today, we are growing rapidly and are excited for new teammates to join who are the best at what they do. We’re passionately building a team that is as diverse and creative as the millions of people we serve worldwide.
Supernormal is a remote-first company and does not require co-location. We have annual team retreats and gather quarterly.
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 to a rapidly growing customer base. Our work revolves heavily around software engineering, too – we are looking for people with a drive to roll up their sleeves and get new models and features out to users as quickly as possible.
As an ML engineer on Supernormal's AI team, you will be responsible for the end-to-end development of our AI solutions for meeting notes, question answering, and task completion. Your work will encompass LLM API calls, custom model training and deployment, speech recognition, quality evaluation and fixes, retrieval augmented generation, and much more. You'll play a key role in optimizing for cost, latency, and quality. Some of the projects you'll work on include:
Requirements
We are a fast-moving startup building zero-to-one products on top of large language models. The ideal candidate has a strong machine learning background and a hacker mindset, someone who can both spin up Jupyter Notebooks to train models and also excel at writing solid, fast production code for deployment.
Benefits
💰 Competitive salary, 401K
📈 Stock options
🏥 Full healthcare coverage (Medical, Dental, and Vision)
🚀 Totally remote. Not hybrid. Remote. No return-to-office here
🏠 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)
•Last updated on Jul 1, 2024
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