Machine Learning Engineer

Summary

Join Supernormal, a remote-first company transforming spoken communication with AI-powered solutions. As an ML Engineer, you'll lead the development cycle of AI solutions for meeting notes, question answering, and task completion.

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
• 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
• Software Engineering Competency: A solid engineering background with a robust foundation in software engineering principles
• 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

Responsibilities

• Lead the full development cycle of AI solutions for meeting notes, question answering, agent conversations, and task completion
• Prompt engineering using state-of-the-art techniques to improve the core meeting assistant scenarios
• Building and shipping machine learning models to improve transcript quality, reduce API token usage, eliminate LLM output defects, and extract semi-structured data
• Training and deploying custom language models (LoRA, RLHF, instruction-tuning, etc.), fine-tuning models for diverse business needs
• Creating new NLP & LLM-driven product experiences that improve with user feedback, collaborating with product and design teams
• Improving our LLM-powered search and question answering using retrieval augmented generation (RAG), everything from defining and improving quality metrics to optimizing our infrastructure

Benefits

• Competitive salary
• 401K
• Full healthcare coverage (Medical, Dental, and Vision)
• Totally remote work arrangement
• 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)