Full-Time

Optimization Engineer

Posted on 9/26/2024

WebAI

WebAI

51-200 employees

Modular deep learning platform for enterprises

AI & Machine Learning
Financial Services
Healthcare

Senior

Remote in USA

Flexible work week.

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Rust
Python
Go
C/C++
Requirements
  • 5+ years of experience in performance optimization, preferably in AI/ML systems
  • Strong background in computer science, mathematics, or a related field
  • Proficiency in Python and C++; familiarity with Rust or Go is a plus
  • Deep understanding of machine learning algorithms and neural network architectures
  • Experience with model compression techniques (quantization, pruning, distillation)
  • Familiarity with hardware architectures (CPU, GPU, TPU) and their performance characteristics
  • Strong analytical and problem-solving skills
Responsibilities
  • Analyze and optimize the performance of AI models for execution on local infrastructure
  • Develop and implement algorithms for model compression, quantization, and pruning
  • Optimize memory usage, computation speed, and energy efficiency of AI workloads
  • Collaborate with runtime and systems teams to ensure end-to-end optimization
  • Create benchmarking tools and performance metrics for continuous improvement
  • Research and implement state-of-the-art optimization techniques from academic papers
  • Contribute to the development of auto-optimization tools for our AI platform

WebAI provides a Deep Learning Platform (DLP) that is modular and secure, aimed at researchers, developers, and enterprises wanting to implement advanced AI solutions. The platform allows users to collect, train, and deploy neural networks with minimal computational resources, making it ideal for environments with limited cloud connectivity. Unlike many competitors, WebAI focuses on low data requirements and high accuracy, ensuring that clients can operate efficiently without extensive resources. The platform features strong encryption for data security and supports seamless integration of new code. WebAI's goal is to make advanced AI technology accessible to a wider range of users, particularly in industries like healthcare, finance, and manufacturing that demand secure and accurate AI applications.

Company Stage

Series A

Total Funding

$74.9M

Headquarters

Grand Rapids, Michigan

Founded

2020

Growth & Insights
Headcount

6 month growth

35%

1 year growth

35%

2 year growth

35%
Simplify Jobs

Simplify's Take

What believers are saying

  • WebAI raised $60M in Series A, boosting its innovation and market reach.
  • Increased demand for edge AI solutions aligns with WebAI's platform capabilities.
  • Healthcare and finance sectors' reliance on AI presents growth opportunities for WebAI.

What critics are saying

  • Emerging AI startups may increase competition in edge computing solutions.
  • Rapid AI advancements could render WebAI's platform features obsolete if not updated.
  • Economic downturns may reduce enterprise spending on AI tools, affecting WebAI's revenue.

What makes WebAI unique

  • WebAI offers a modular Deep Learning Platform for secure, distributed AI deployment.
  • The platform functions efficiently with low computational resources, ideal for edge deployments.
  • WebAI provides state-of-the-art encryption and interoperability for seamless AI integration.

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