Full-Time

AI Engineer

Confirmed live in the last 24 hours

Normal Computing

Normal Computing

11-50 employees

Develops generative AI for enterprises

Enterprise Software
AI & Machine Learning

Junior, Mid

New York, NY, USA

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Python
Pytorch
Requirements
  • Experience with engineering projects, ideally related to 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
  • Knowledge of AI evaluation and benchmarking
  • Clear communication of complex AI concepts
Responsibilities
  • Contribute to AI projects from concept to production deployment
  • Design and build 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
  • Create robust AI evaluation frameworks
  • Develop strategies to manage AI-specific challenges (latency, variance, errors)
  • Keep up with AI advancements, especially in language models and multi-modal AI

Normal Computing develops generative AI specifically for critical enterprise applications, focusing on large-scale enterprises like Fortune 500 companies in sectors such as semiconductor manufacturing, supply chain management, banking, and government. Their technology, based on Probabilistic AI, utilizes statistical analysis to predict outcomes, allowing businesses to have greater control over the reliability, adaptivity, and auditability of their AI models. This approach addresses the significant risks that have hindered AI adoption in these industries. Unlike many competitors, Normal Computing tailors its AI solutions to meet the specific needs of its clients, operating on a subscription or contract basis. The goal of Normal Computing is to mitigate risks associated with AI implementation, making it a more viable option for enterprises.

Company Stage

Grant

Total Funding

$80.7M

Headquarters

New York City, New York

Founded

2022

Growth & Insights
Headcount

6 month growth

46%

1 year growth

46%

2 year growth

422%
Simplify Jobs

Simplify's Take

What believers are saying

  • Normal Computing's innovative technology could lead to widespread adoption among Fortune 500 companies, significantly boosting revenue and market presence.
  • Their focus on risk management in AI applications makes them highly attractive to industries that have been hesitant to adopt AI due to potential risks.
  • The strong background of the founding team enhances credibility and attracts top-tier talent, fostering a culture of innovation and excellence.

What critics are saying

  • The high level of customization required for each client could limit scalability and strain resources.
  • Operating in a rapidly evolving AI market means Normal Computing must continuously innovate to stay ahead of competitors.

What makes Normal Computing unique

  • Normal Computing leverages Probabilistic AI to offer unprecedented control over AI model reliability, adaptivity, and auditability, setting it apart from traditional AI solutions.
  • The company's founders come from elite backgrounds at Google Brain, Palantir, and X, providing a strong pedigree and deep expertise in AI.
  • Normal Computing focuses on high-risk industries like semiconductor manufacturing and banking, where their risk-mitigating AI solutions are particularly valuable.

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