At Circle, the AI Team is responsible for:
Developing and maintaining internal and customer-facing computer vision services, and building machine learning pipelines to improve and expand our products.
As a backend engineer, you will own core backend services that support our computer vision applications, including the design and implementation of our machine learning pipelines.
Be ready for novel challenges—issues and concerns you encounter may differ from your previous work experience given the nature of large-scale machine learning and streaming video, e.g. GPU-bound issues and real-time systems that have already processed many billions of frames.
You will face streaming, network, computer vision, machine learning, application optimization, and cloud infrastructure issues very often. You will work with researchers, engineers, and designers in Taipei, London, and San Francisco. Communication skills matter.
We are moving fast to handle a dramatically increasing number of cameras. Scalability and efficiency are our chief concerns.
Requirements for Junior members:
Proficiency in network programming with either Python, Go or Node.js
Experience in container technology, e.g. Docker
Proven experience in building RESTful services
Basic knowledge of RDBMS or NoSQL databases
Requirements for Senior members:
Proficiency in network programming with either Python, Go or Node.js
Experience in container technology, e.g., Kubernetes
Experience in AWS, GCP or other cloud providers
Write clean and maintainable code with design documents and unit tests
Perform rigorous code reviews of not only the high-level design but also the maintainability together with providing mentorship for junior members
Proven experience in building micro service architectures
Excellent knowledge of RDBMS or NoSQL databases
DevOps experience
Prior security industry experience Computer vision, machine learning, or data science background Contributions to open-source projects
Records of active contribution to technical communities, such as contributed or invited talks in relevant conferences
Practical Agile enthusiast
Please submit your resume in English.
No. 335, Ruiguang Rd, Neihu District, Taipei City, 114
Established in 2021, we are a startup in the AI Security Industry.
Our mission is to transform the security service industry through the assistance of AI visual recognition systems to better protect businesses, their assets, and the general public. With offices in San Francisco, London, and Taipei, our products analyze billions of security images in real-time every month for many global security service providers, regional alarm companies and multinational corporations.
At Circle, we are a passionate team of creators, problem solvers, and storytellers. We believe in trust and transparency, our members enjoy flexibility in the way they work, and have the opportunity to make a real impact with their role. Our strength lies in our diversity - our members hail from different regions across the world! We are truly an incredible mix of western and eastern culture in the heart of Taipei’s technology district!
[In the Press]
Forbes - AI Startup with a Fix to False Alarms TechCrunch
Smart Security Cameras That Prevent Crimes
CB Insight Featured Global Deep Learning Startup
Matterport Top 10 Fastest Growing A.I. Company in the U.S.
ASMAG - How A Cloud-Based Self-Learning Camera Benefit Users
[Awards]
Electronic Security Exchange - Video Surveillance Innovation Award in AI and Camera
Global Security Exchange - Best in Video Analytics
Security Industry Association - Best in Video Analytics
Nvidia Deep Learning ECS - Best of Show
NPS - Cloud Solution Award
The Global Annual Achievement Awards for Artificial Intelligence - Best use of AI for IoT
Frost and Sullivan - Technology Innovation Award