Full Stack Engineer Intern (Starting any time)

About Safari AI

The Company's vision is to Automate Action of the leading companies in the physical economy, from Entertainment, QSR's, Retail and beyond. It's using computer vision AI to Measure, Alert and provide AI-generated Recommendations at the operations of leading companies such as Merlin/Legoland, 7-11, Tanger Outlets, Manhattan Mini Storage, Charlotte Hornets, Calgary Flames, and more. In the near future, Safari AI will use this data and to suggest how its clients can optimize its SOPs to generate more revenue and create more valuable guest and staff experiences.

Safari AI is seed-funded by leading venture capital investors and expects to raise its Series A in 2025.

Leadership & Culture

Safari AI is co-founded by Ali Vahabzadeh & Kaiwen Yuan, two leaders who have meaningful exits under their belts and have managed large, high-performing Go To Market and Engineering teams. The company is headquartered in NYC where the GTM team is based and works from the office five days a week, while Engineering is distributed between North America and Brazil.

About You And How You Succeed At Safari AI

You're excited about building a product and creating a market that hasn't been done before. You have a strong bias toward action when you are stuck but are not afraid to ask for help when you need to. You're high agency, and eager to test new ways of doing things, taking advantage of the freedom and culture an early stage startup can afford you. You're eager to lead the company's engagement with category leaders in a variety of industries, solving some of their biggest challenges.

About the Role

We are seeking computer vision interns to join our team for 6-12 months, with the opportunity to become a full-time team member afterwards pending performance. Interns will work closely with our engineering team on deploying new locations and features for our clients. Interns will have an opportunity to work with cutting-edge AI technology and to be part of a dynamic and innovative team.

What you will be working on Weekly Basis

• Collaborate with primary owner of Safari AI infrastructure including key frontend and backend services
• Implement main website application services
• Practice engineering best practices for system design, coding, documentation and communication
• Work closely with engineering team members and operation team to work on new priorities and communicate it well
• Contribute to engineering development process improvements

Requirement for the Role

• proficiency in React and Java
• experiences in at least one of the following public cloud: AWS/GCP/Azure
• proven record of building a complex service with supervision
• familiar with container technology including docker and kubernetes
• familiar with one or more big data frameworks such as Flink, Hadoop, Beam, Spark, etc.
• experiences in startups

Nice to Have's

• experiences in machine learning
• PhD training in computer science or similar areas
• experiences in compliance, such as SOC2

What Safari AI Offers

• An opportunity to shape an early-stage AI startup and revolutionize how businesses get data and make decisions
• Professional growth at a fast-growing, venture-funded startup with a proven founder and leadership team
• Competitive salary and meaningful equity for early team leaders
• Unlimited vacation days
• Generous health benefits (Health, Vision, Dental)
• 401k contributions enabled
• Brand new, top of the line hardware and whatever else you need to help you win

Why bet on Computer Vision and Safari AI?

1. Huge opportunity hiding in plain sight: leveraging already-installed cameras to automate and real-time action on operational data

2. Large chasm between customer knowledge and market availability, i.e. customers don't know what is available in the market...yet.

3. No clear industry leader in computer vision; everyone is small and unbranded (i.e. no Amazon or Google in the room to compete with)

4. Very modular, allowing Safari AI and its customers to invent whole new use cases on a regular basis

5. Developed the tech and data pipelines over three years and invested several million dollars and is now ready to scale

6. Already the market leader in enterprise CV by working with industry leaders with billions in revenue