Full-Time

Director of AI

Confirmed live in the last 24 hours

WebAI

WebAI

51-200 employees

Modular deep learning platform for enterprises

Cybersecurity
AI & Machine Learning

Senior, Expert

Remote in USA

Flexible work week.

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI Research
AI & Machine Learning
Required Skills
Data Science
Natural Language Processing (NLP)
Requirements
  • MS or PhD in Computer Science, Machine Learning, or a related field.
  • 8+ years of experience in AI/ML, with a strong preference for candidates with prior leadership experience.
  • Demonstrated success in AI project implementation with a deep knowledge of machine learning, deep learning, natural language processing, and other AI technologies.
  • Proven ability to lead, manage, and inspire a team, fostering a collaborative and results-driven environment.
  • Experience with AI ethics and responsible AI development, ensuring compliance with industry standards.
  • Exceptional communication abilities, capable of conveying complex technical information to both technical and non-technical stakeholders.
Responsibilities
  • Lead the development and execution of webAI's AI strategy, aligning it with business goals and driving impactful AI innovation.
  • Manage, mentor, and inspire a high-performing team of AI researchers, data scientists, and engineers, fostering a culture of growth and excellence.
  • Collaborate with product, engineering, and business teams to integrate AI solutions into existing products and ideate new AI-driven offerings.
  • Stay current with the latest AI trends, technologies, and methodologies, and continuously evaluate how they can be applied within webAI.
  • Ensure the responsible and ethical development and deployment of AI technologies, aligning with best practices and regulatory guidelines.
  • Represent webAI at industry conferences and events, positioning the company as a thought leader in the AI space.
  • Oversee AI project implementations, ensuring they meet quality, efficiency, and impact standards.

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

22%

1 year growth

22%

2 year growth

22%
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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