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- Tasks: Join us as a Data Engineer to build and optimise streaming data processing engines.
- Company: Safari AI is revolutionising the physical economy with cutting-edge computer vision AI technology.
- Benefits: Enjoy competitive salary, equity, 401k, and top-notch hardware to excel in your role.
- Why this job: Be part of an innovative startup shaping the future of AI in various industries.
- Qualifications: Proficient in Flink, Java, and messaging frameworks; 5-8 years of software experience required.
- Other info: Work in a dynamic environment with a leadership team experienced in successful startups.
The predicted salary is between 48000 - 84000 £ per year.
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
- 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
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Data Engineer, Flink & Java employer: Safari AI
Contact Detail:
Safari AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, Flink & Java
✨Tip Number 1
Familiarise yourself with the latest trends in computer vision and AI, especially how they apply to the physical economy. This knowledge will not only help you understand the company's mission but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the data engineering field, particularly those who have experience with Flink and Java. Attend relevant meetups or online webinars to connect with potential colleagues and gain insights into the industry.
✨Tip Number 3
Showcase your hands-on experience with streaming data processing engines by discussing specific projects you've worked on. Be prepared to explain your role in these projects and how you contributed to their success.
✨Tip Number 4
Demonstrate your understanding of best practices in software development and security compliance. Prepare examples of how you've implemented these practices in previous roles, as this will highlight your readiness for the challenges at Safari AI.
We think you need these skills to ace Data Engineer, Flink & Java
Some tips for your application 🫡
Understand the Company and Role: Before applying, take some time to understand Safari AI's mission and the specifics of the Data Engineer role. Familiarise yourself with their use of computer vision AI and how it impacts various industries.
Tailor Your CV: Make sure your CV highlights your proficiency in Flink and Java, as well as your experience with messaging queue frameworks like Kafka or RabbitMQ. Emphasise any relevant projects that showcase your ability to build complex services from scratch.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for AI and data, and explain why you are excited about the opportunity at Safari AI. Mention specific experiences that align with their needs, such as working in startups or your understanding of software development best practices.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail, especially around streaming data processing and cloud platforms. Prepare examples of past projects where you implemented engineering best practices and contributed to process improvements.
How to prepare for a job interview at Safari AI
✨Show Your Passion for AI and Data
Make sure to express your enthusiasm for AI and data during the interview. Safari AI is looking for candidates who are genuinely excited about their mission, so share any relevant projects or experiences that highlight your passion.
✨Demonstrate Your Technical Skills
Be prepared to discuss your proficiency in Flink and Java, as well as your experience with messaging queue frameworks like Kafka or RabbitMQ. You might be asked to solve technical problems on the spot, so brush up on your coding skills beforehand.
✨Highlight Your Startup Experience
Since Safari AI is an early-stage startup, they value candidates with startup experience. Share specific examples of how you've contributed to a startup environment, particularly in building services from scratch or leading projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision, culture, and future plans. This shows your interest in the role and helps you assess if it's the right fit for you. Consider asking about their approach to innovation in computer vision.
