Machine Learning Engineer

2 days ago

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Supernormal

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Supernormal helps capture and share your teams video meetings with live notes, transcript and automatic highlight videos

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Description

• 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. • You'll play a key role in optimizing for cost, latency, and quality.

Requirements

• AI/ML Experience: Demonstrated proficiency in AI/ML with a track record of at least 3-5 years experience building machine learning systems, up to speed on the latest in NLP & LLMs, and proficient in data curation, modeling, and training models. We require skills for shipping and maintaining ML in production settings. • A Solid Educational Foundation: Bachelor’s degree in Computer Science, Engineering, AI, Mathematics, or related field; Master’s degree or PhD a plus. • Versatile Software Engineering Skills: A solid engineering background with a robust foundation in software engineering principles. You have written code for and supported production engineering systems. • Proficient in Python and SQL: our AI stack uses Python & PyTorch and interfaces with Ruby on Rails (bonus if you know it, but not required) and we write a lot of SQL queries on top of Snowflake to pull data

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)