AI Fund
AI Fund is a venture studio focused on launching AI-based companies that aim to drive progress across various sectors. By partnering with talented founders and tech pioneers, AI Fund supports the development of innovative applications of artificial intelligence, spanning industries such as manufacturing, mental health, education, and more. The organization acts as a minor co-founder, helping to cultivate startups that leverage the transformative potential of AI to improve the world.
deep learning • machine learning • artificial intelligence • startup • entrepreneurship
Head of Engineering
December 11, 2024
AI Fund
AI Fund is a venture studio focused on launching AI-based companies that aim to drive progress across various sectors. By partnering with talented founders and tech pioneers, AI Fund supports the development of innovative applications of artificial intelligence, spanning industries such as manufacturing, mental health, education, and more. The organization acts as a minor co-founder, helping to cultivate startups that leverage the transformative potential of AI to improve the world.
deep learning • machine learning • artificial intelligence • startup • entrepreneurship
📋 Description
• Ayama has partnered with Andrew Ng’s AI Fund and a Fortune 500 energy leader to use AI to reshape how $10+ Trillion of heavy assets operate, are managed, and are maintained. • The Head of Engineering will report directly to Ayama’s CEO. • Ayama was incubated in AI Fund, a venture studio headquartered in Palo Alto and founded by Dr. Andrew Ng. • The Head of Engineering will play a crucial role in developing the company’s technology strategy and software architecture. • Your task is to define the tech stack ensuring scalability, independence of 3rd party platforms, and deployment flexibility across cloud, private cloud, and on-prem. • Build a high caliber team of experts across software engineering and AI/ML.
🎯 Requirements
• Entrepreneurial Experience: Previous experience as an engineering leader for a VC-backed technology company. • Zero to One: Previous experience building a software product from scratch. • Full Stack Development: Across the software development lifecycle, ensuring best practices in both front-end and back-end development. • AI/ML Proficiency: Conceptual understanding of AI/ML technologies to drive innovation within our product and ensure the engineering team stays updated with the latest advancements. • Integration and Scalability: Familiarity with integrating various data sources, tools, and platforms, ensuring scalability and growth optimization. • Data Management: Demonstrated ability to lead and develop data management and governance practices, ensuring data integrity, security, and accessibility. • Education: Bachelor’s degree in Computer Science, Engineering, or a related field a plus.
🏖️ Benefits
• All essential support needed to launch the engineering team and ensure your success in the role and, ultimately, the company's success • Remote first company for you and the engineering team • Headcount for you to build the initial engineering team • Fortune 500 users as design partners for real-world product feedback and prioritization • AI Fund technical roadmap
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