Your Role in Our Mission: We are looking for an AI Engineer to help us take systems that understand large technical documents and turn them into code.
This is a job of excitement and exploration, requiring AI expertise and software engineering skills to build complex systems.
Knowledge of semiconductors is a plus.
At Normal Computing, you will contribute to cutting-edge machine learning applications across various aspects of our business, working on solutions from the early stages of research and development to production deployment for our customers.
Responsibilities: Contribute to AI projects from concept to production deploymentDesign and build systems using large language models to process complex technical documentsDevelop solutions for multi-modal data handling (PDFs, logs, tables)Solve challenging AI and software engineering problemsWork with other teams to integrate AI into our productsCreate robust AI evaluation frameworksDevelop strategies to manage AI-specific challenges (latency, variance, errors)Keep up with AI advancements, especially in language models and multi-modal AIWhat Makes You A Great Fit: Experience with engineering projects, ideally related to ML or AIStrong software engineering skills, especially with distributed systemsProficiency in Python and ML frameworks (PyTorch, Hugging Face)Experience with prompt engineering and deploying language modelsAbility to handle and preprocess large, diverse datasetsUnderstanding of AI safety and responsible developmentKnowledge of AI evaluation and benchmarkingClear communication of complex AI conceptsBonus Points For: Experience deploying AI in production environmentsCloud platform knowledge for AI deploymentFamiliarity with advanced AI techniques (few-shot learning, meta-learning)Open-source AI contributions or relevant publicationsAbility to balance AI innovation with production-ready systemsAdaptability in a fast-paced, evolving AI landscape
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