As a Data Engineer, you will set the technical direction for a streaming data processing engine, implement it, ensure best practices, and work with teams to prioritize tasks and improve processes.
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.
We are looking for all kinds of talents, from Individual Contributor to Tech Lead Manager.
What you will be working on regardless the roles
- Set technical direction for streaming data processing engine
- Hands-on implementation of streaming data processing engine
- Practice engineering best practices for system design, coding, documentation and communication
- Work closely with engineering team members and operation team to identify new priorities and communicate it well
- Contribute to engineering development process improvements
What you must have
- proficient in Flink and Java
- proficient in messaging queue frameworks such as Kafka, Pulsar, RabbitMQ, etc.
- depth belief in our mission and strong enthusiasm in AI / data
- 5-8 years software individual contributor experiences
- experiences in startups and enterprises
- proficiency in at least one of the following public cloud: AWS/GCP/Azure
- proven record of building a complex service from scratch to production
- experiences in delivering incremental features and maintaining reliabilities of a production service
- good understanding in best practices in software development lifecycle (SDLC) and security compliance
Nice-to-Haves
- proven experiences of building a team and mentoring skills
- PhD training in computer science or similar areas
- previous startup founder experiences
- Proficient in react / vue, and CRUD
- Proficient in embedded CV and related framworks, such as TensorRT, Gstreamer, etc.
- Product manager leadership in AI/ML based products
What we provide
- Opportunity to shape an early-stage, mission-driven startup and revolutionize how Enterprises use Computer Vision
- Professional growth at a fast-growing, venture-funded start up with a proven founder and leadership team
- Competitive salary and meaningful equity for early team members
- Unlimited vacation days
- Generous health benefits (Health, Vision, Dental)
- 401k for US team members
- Brand new, top of the line hardware and whatever else you need to help you win
We are not considering any agent/agency and only matched candidates will be reached out.
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
Top Skills
AWS
Azure
Flink
GCP
Gstreamer
Java
Kafka
Pulsar
RabbitMQ
React
Tensorrt
Vue
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