Staff AI Architect

4 weeks ago


Copenhagen, Copenhagen, Denmark Normal Computing Corporation Full time
Unlock the Power of AI at Normal Computing Corporation

At Normal Computing Corporation, we're pushing the boundaries of artificial intelligence to revolutionize the way we interact with the physical world. As a Staff AI Engineer, you'll play a pivotal role in developing cutting-edge AI solutions that drive innovation and growth.

Your Mission: We're seeking a highly skilled AI expert to lead the development of AI systems that can process complex technical documents and turn them into code. This is a challenging role that requires a deep understanding of AI, software engineering, and chip specifications.

Responsibilities:

  • Design and build AI systems using large language models to process complex technical documents
  • Develop solutions for multi-modal data handling (PDFs, logs, tables)
  • Solve challenging AI and software engineering problems
  • Work with other teams to integrate AI into our products
  • Guide junior engineers and promote best practices
  • Create robust AI evaluation frameworks
  • Develop strategies to manage AI-specific challenges (latency, variance, errors)
  • Stay up-to-date with AI advancements, especially in language models and multi-modal AI

What We're Looking For:

  • Proven track record leading engineering projects, ideally in ML or AI
  • Strong software engineering skills, especially with distributed systems
  • Proficiency in Python and ML frameworks (PyTorch, Hugging Face)
  • Experience with prompt engineering and deploying language models
  • Ability to handle and preprocess large, diverse datasets
  • Understanding of AI safety and responsible development
  • Expertise in AI evaluation and benchmarking
  • Clear communication of complex AI concepts

Bonus Points:

  • Experience deploying AI in high-stakes environments
  • Cloud platform knowledge for large-scale AI deployment
  • Expertise in advanced AI techniques (few-shot learning, meta-learning)
  • Open-source AI contributions or relevant publications
  • Leadership in strategic AI initiatives
  • Ability to balance AI innovation with production-ready systems
  • Adaptability in a fast-paced, evolving AI landscape

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