Machine Learning Engineer

November 7

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Supernormal

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Description

• We're transforming spoken communication for individuals, teams, and organizations. • We’re solving problems with focus, design, and craft since 2019. • Supernormal is remote first and does not require co-location. • Machine learning engineers build AI that enhances experiences for meetings. • Responsibilities include prompt engineering, model training, and optimizing deployment.

Requirements

• Production-level AI/ML Experience: Demonstrated proficiency in AI/ML with a track record of at least 3-5 years experience building machine learning systems. We require skills for shipping and maintaining ML in production settings. • Experience delivering products and services using GenAI: 1+ year experience building NLP systems using LLMs, including proficiency with data curation/cleaning/labeling, fine-tuning/training models, and evaluating generative text output. Experience with RAG systems or conversational agents is a plus. • Software Engineering Competency: A solid engineering background with a robust foundation in software engineering principles. Must have comfort and excellence in writing code for and supporting production engineering systems. • A Solid Educational Foundation in AI/ML: Bachelor’s degree in Computer Science, Engineering, AI, Mathematics, or related field; Master’s degree or PhD a plus. • Proficient in Python: our AI stack uses Python and interfaces with Ruby on Rails and Typescript (bonus if you know these, but not required).

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)