Who we are

Lightning AI is the company reimagining the way AI is built. After creating and releasing PyTorch Lightning in 2019, Lightning AI was launched to reshape the development of artificial intelligence products for commercial and academic use.

Focusing on simplicity, sustainability, modularity, and extensibility, Lightning AI streamlines the lifecycle of machine learning development to expand widespread AI adoption. Its aim is to enable individual and enterprise users to build deployment-ready AI tools without having to hire experts or sink resources into in-house infrastructure.

Lightning AI is a company with offices in New York City, Palo Alto, and London backed by $58.6 million in funding from Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

What’s important to us

We are building a company of people that care deeply about the impact of AI on our society. We value:

• Integrity: AI is bound to change how we interact with computers, with each other, and the world—for the better. We are committed to building an inclusive company and developing ethical AI that improves humanity.
• Perseverance: Be bold, take the initiative, and make decisions with confidence. We empower our community, clients, and colleagues to tackle the impossible.
• Curiosity: We are genuinely interested in finding solutions to advance the state of AI research and foster its application in novel products. It's not about whether we can solve the problem, but how.

We also feel that it’s essential to point out the self-evident here – there’s a genuine lack of diversity in our industry, which has to change. One of our goals is to help drive that change. Lightning AI is fully committed to diversity, equity, and inclusion in all of its practices, especially when it comes to growing our team. Our culture promotes inclusion, and we embrace how rewarding it is to work with people from all walks of life.

What We're Looking For

As more developers use Lightning, we are actively investing in our user communities. This is an opportunity for you to shape the developer experience in the AI space while driving the adoption and utilization of technology that will transform the machine learning ecosystem as a whole. At Lightning AI, developer advocacy centers around 3 tenants:

1. Community: Our goal is to amplify the community's voice within the company by increasing engagement, gathering feedback, and working together.
2. Content: From writing blog posts, drafting articles, and producing videos to building demos and developing our documentation, we want to ensure that our users have the resources they need to get started and learn about the latest ways to use Lightning!
3. Engineering:  At the end of the day, we are all engineers. We connect with developers in the field, foster strong relationships with internal teams, and work together on prioritizing feedback to inform discovery and roadmap development.

 

What You’ll Do

• Amplify the Lightning Community by connecting with users in the community Slack, speaking at meetups and conferences, and hosting Community Office Hours and Technical Community Sprints.
• Write technical content and documentation, including open source repos, blog posts, case studies, and documentation to enable engineers, scientists, and researchers to do more with Lightning.
• Collaborate with the product and engineering teams to share the voice of the community and improve the developer experience as a whole.
• Actively build demos on top of lightning using PyTorch and Lightning.
• Represent the company at conferences and meetups virtually (and across the globe when it's safe) to connect with our community, meet our users, and host fun, engaging events.

How we evaluate your candidacy

Our interviews will not only give us insight into your skillset but give you insight into our company.

• Recruiter Interview - 15 minutes: You will speak with our recruiter about your background and what you are looking for in your next role. We want to know why you are interested in joining us and what questions you have about the team.
• Hiring Manager Interview 30 minutes: You will chat with our Head of Marketing about your genuine passion for AI and machine learning, as well as your unique approach to the Advocacy Role. You will share your thoughts on connecting with end-users, gathering feedback, and creating champions within our community.
• Virtual Onsite - 3 hours: You'll have the opportunity to meet with our Lead AI Educator, as well as a product manager, m