Full-Time

Senior Swift Engineer

Confirmed live in the last 24 hours

WebAI

WebAI

51-200 employees

Modular deep learning platform for enterprises

Cybersecurity
AI & Machine Learning

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, 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 edge computing 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 needing extensive data sets. The platform features strong encryption for data security and is designed for easy integration with existing systems. WebAI's goal is to democratize access to advanced AI technologies, making them available to a wider range of industries, including healthcare, finance, and manufacturing.

Company Stage

Series A

Total Funding

$74.9M

Headquarters

Grand Rapids, Michigan

Founded

N/A

Growth & Insights
Headcount

6 month growth

35%

1 year growth

35%

2 year growth

35%
Simplify Jobs

Simplify's Take

What believers are saying

  • The recent $60 million Series A funding and $700 million valuation highlight strong investor confidence and provide resources for further innovation and market expansion.
  • The appointment of industry veterans to the board brings valuable expertise and strategic guidance, potentially accelerating WebAI's growth and influence in the AI sector.
  • WebAI's ability to enable powerful AI on local devices can significantly reduce computing costs and enhance operational efficiency for enterprises, making it an attractive option for cost-conscious businesses.

What critics are saying

  • The competitive AI landscape, with major players like Google and Microsoft, poses a challenge for WebAI to maintain its market position and continue attracting clients.
  • Reliance on subscription fees and additional services for revenue may limit scalability if clients seek more flexible pricing models.

What makes WebAI unique

  • WebAI's platform is designed for low computational resource environments, making it ideal for edge deployments where cloud connectivity is limited, unlike many competitors who rely heavily on cloud infrastructure.
  • The company's focus on secure AI solutions with state-of-the-art encryption and proprietary runtime stacks sets it apart in industries like healthcare and finance that require high data security.
  • WebAI's modular and autonomous AI tools allow clients to train and deploy neural networks with minimal data, reducing the need for extensive computational power and making AI more accessible.

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