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AI Engineer Lead

Normal Computing

Normal Computing

Software Engineering, Data Science
New York, NY, USA · San Francisco, CA, USA · Remote
Posted on Thursday, July 4, 2024

Normal Computing. Incredible Opportunities.

At Normal, we're rewriting AI foundations to advance the frontier of reasoning and reliability in the real world. At the center of our mission is bridging artificial intelligence to the most sensitive industrial and advanced manufacturing applications around the globe. We are tackling these problems with a mix of interdisciplinary approaches across the full stack, from probabilistic software infrastructure and algorithms to hardware and physics.

At Normal, we understand that our technology is only as powerful as the people behind it. Every employee drives significant impact within our products, often working directly with customers and embedding across our tightly-knit team. Our team members are driven by curiosity and passion for solving some of the most challenging problems in the physical world.

Join us as we incite a second industrial revolution through AI purpose-built for (and in) the physical world, as part of our incredible team that’s anything but normal.

Your Role in Our Mission:

As an AI Engineer Lead, you will play a pivotal role in leading and managing projects, mentoring team members, and influencing the strategic direction of our AI initiatives. Your expertise will drive cutting-edge machine learning applications across various aspects of our business, driving solutions from the early stages of research and development all the way to production deployment for our customers.


  • Lead projects from start to finish, ensuring timely and successful delivery.

  • Architect fault-tolerant systems around large language models and other AI technologies to process diverse data types, including multi-modal PDFs, customer service logs, and tabular data.

  • Solve extremely tough software and AI engineering problems requiring novel, precise, and generalizable solutions.

  • Collaborate with cross-functional teams to integrate AI solutions into our products and services, focusing on ML-first application design.

  • Mentor junior AI engineers, fostering a culture of growth and development in engineering best practices.

  • Develop and maintain robust evaluation frameworks and infrastructure to support rapid experimentation and iteration of AI models, with clear paths to production deployment.

  • Design and implement strategies for handling the unique challenges of AI systems, such as high latency, variance, and potential errors.

  • Stay current with industry trends and innovations in AI, particularly in areas like large language models, multi-modal AI, and synthetic data generation.

What Makes You A Great Fit:

  • Proven experience in leading and managing AI engineering projects, particularly those involving large language models.

  • Strong software engineering skills, especially in building complex, distributed systems around AI technologies.

  • Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow.

  • Expertise in prompt engineering, fine-tuning, and deploying large language models in production environments.

  • Skilled in handling and preprocessing large datasets for AI applications, including multi-modal data.

  • Experience with AI safety considerations and best practices for responsible AI development.

  • Strong understanding of AI evaluation metrics and benchmarking methodologies.

  • Excellent communication skills, with the ability to explain complex AI concepts to technical and non-technical stakeholders.

What Elevates Your Application:

  • Experience deploying AI models in high-stakes or regulated environments.

  • Hands-on experience with cloud platforms for large-scale AI deployment.

  • Specialized knowledge in advanced AI techniques such as few-shot learning, meta-learning, or AI alignment.

  • Contributions to open-source AI projects or publications in top-tier AI conferences/journals.

  • Proven ability to lead strategic AI initiatives and drive innovation in AI application development.

  • Experience balancing the creative exploration of AI capabilities with the need for robust, production-ready systems.

  • Proactive and adaptable mindset, thriving in a fast-paced environment where AI technologies rapidly evolve.

Equal Employment Opportunity Statement

Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.

Accessibility Accommodations

Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at

Privacy Notice

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