Full-Time

Senior Swift Engineer

Confirmed live in the last 24 hours

WebAI

WebAI

51-200 employees

Modular deep learning platform for enterprises

AI & Machine Learning
Financial Services
Healthcare

Senior

Austin, TX, USA

Category
IOS Development
Software Engineering
Required Skills
Rust
Go
iOS/Swift
Requirements
  • 4+ years in iOS or macOS development.
  • 1+ year of production SwiftUI experience.
  • Strong understanding of multithreading and memory management in iOS.
  • Experience with Core ML and Metal for on-device machine learning.
  • Familiarity with Xcode, Instruments, and other iOS development tools.
  • Knowledge of iOS security best practices and privacy considerations.
  • Solid understanding of network protocols such as MQTT and WSS.
  • Experience in frontend development and exposure to multiple production environments.
  • Excellent problem-solving skills and attention to detail.
  • Startup enthusiast, adaptable, and able to thrive in a fast-paced setting.
Responsibilities
  • Architect and develop sophisticated iOS applications using Swift and SwiftUI.
  • Integrate webAI’s distributed AI technology into iOS apps, optimizing for local execution.
  • Design and implement efficient, thread-safe code for AI model inference on iOS devices.
  • Collaborate with teams to define project requirements and execute them independently.
  • Work with backend teams (Rust, Go) to integrate cross-language functionalities.
  • Contribute to our AI platform by building innovative applications and navigating complex challenges across various production environments.
  • Develop and maintain SDK/frameworks for easy integration of webAI technology in iOS apps.
  • Mentor junior iOS developers and contribute to the technical direction of our mobile strategy.

WebAI provides a Deep Learning Platform (DLP) that is modular and secure, catering to developers, subject matter experts, and enterprises looking to implement AI solutions. The platform allows users to collect, train, and deploy neural networks with minimal computational resources, making it ideal for edge deployments where internet access may be limited. 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 capabilities accessible to a wider audience, particularly in industries like healthcare, finance, and manufacturing that demand secure and accurate AI solutions.

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 interest in federated learning aligns with WebAI's secure, distributed AI solutions.
  • Growing demand for edge AI solutions supports WebAI's low computational resource strategy.

What critics are saying

  • Emerging AI startups with similar solutions could dilute WebAI's market share.
  • Over-reliance on subscription revenue poses financial risks if customer acquisition slows.
  • Rapid AI advancements may render WebAI's platform features obsolete if not updated.

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 integration.

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