Staff AI Engineer at Normal Computing

New York, New York, United States

Normal Computing Logo
$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

Key technologies and capabilities for this role

PythonPyTorchHugging FacePrompt EngineeringLarge Language ModelsDistributed SystemsMulti-modal Data ProcessingAI EvaluationBenchmarkingAI Safety

Questions & Answers

Common questions about this position

What is the salary range for the Staff AI Engineer position?

The salary range is $210K - $250K.

Is this a remote or hybrid role?

This is a hybrid position.

What key skills are required for this role?

Required skills include proficiency in Python and ML frameworks like PyTorch and Hugging Face, experience with prompt engineering and deploying language models, strong software engineering skills especially with distributed systems, and ability to handle large diverse datasets.

What is the company culture like at Normal Computing?

Normal Computing celebrates diversity, is committed to creating an inclusive environment for all employees, and provides reasonable accommodations for individuals with disabilities.

What makes a strong candidate for this Staff AI Engineer role?

A strong candidate has a proven track record leading engineering projects in ML or AI, strong software engineering skills with distributed systems, proficiency in Python and ML frameworks, experience with prompt engineering and deploying language models, plus bonus for semis knowledge, cloud platforms, and open-source contributions.

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

Benefits

Flexible Work Hours

Risks

Competition from IBM and Intel in thermodynamic computing could challenge market position.
Global semiconductor shortages may impact hardware scaling capabilities.
AI regulatory changes in the EU and US could increase compliance costs.

Differentiation

Normal Computing uses Probabilistic AI for reliable, adaptive enterprise applications.
Their thermodynamic computer enhances AI reliability and efficiency, a first in the industry.
Founded by ex-Google Brain and X engineers, they have a strong AI development pedigree.

Upsides

Selected for ARIA's £50M Scaling Compute Program, boosting funding and visibility.
Raised $8.5M in seed funding to advance Probabilistic AI technology.
Growing demand for AI solutions in risk-averse industries like banking and government.

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