Staff AI Engineer at Normal Computing

New York, New York, United States

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$210,000 – $250,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SemiconductorsIndustries

Requirements

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

Responsibilities

Lead 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
Guide junior engineers and promote best practices
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, and synthetic data generation

Skills

Python

PyTorch

Hugging Face

Prompt Engineering

Large Language Models

Distributed Systems

Multi-modal Data Processing

AI Evaluation

Benchmarking

AI Safety

Normal Computing

Develops generative AI for enterprises

About Normal Computing

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 critical applications in high-stakes environments.

New York City, New YorkHeadquarters

2022Year Founded

$80.7MTotal Funding

GRANTCompany Stage

Enterprise Software, AI & Machine LearningIndustries

51-200Employees