AI Engineer

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 have analyzed billions of security images in real-time for 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!

[Products]

Light - a powerful human detection AI SaaS service miles ahead of the competitions. Flexible cloud and hybrid-cloud deployments that work for both small and large client infrastructures.

TruePlatform - a modern cloud-based video AI management platform designed for real-time alert responses with open integrations.
As a member of the AI Team, you will work with fellow AI engineers, as well as other creative engineers.

The AI Team's goal is to continuously optimize our leading AI/ML product, Light AI, for performance, accuracy, and sustainability, as well as adopt cutting-edge technologies to improve and expand its services!

We rigorously strive to make our systems as robust and performable as possible. Our systems have already processed many billions of frames to date, and we’re eager to have you join us in scaling that to new heights.

[The Role]

As a member of the AI Team, you will work with fellow AI engineers, as well as other creative engineers. The AI Team's goal is to continuously optimize our 4-year-old AI/ML product, Umbo Light, for performance, accuracy, and sustainability, as well as adopt cutting-edge technologies to improve and expand its services! We rigorously strive to make our systems as robust and performable as possible. Our systems have already processed many billions of frames to date, and we’re eager to have you join us in scaling that to new heights.

[What You'll Do]

Learn cutting-edge computer vision and machine learning algorithms. We're super excited whenever new deep learning techniques are out, and serious about applying the best to improve one of our core technologies – autonomous video security. You will join in on our regular discussions covering new research papers and tech, open to all in the company.

And of course, we happily encourage you to share your discoveries as well!

Design, implement and optimize our CV/ML systems such as data collection, model training, evaluation, and serving. You will learn and apply many backend technologies, working with our other talented engineers to come up with creative ways to improve our data processing pipelines.
Operate large-scale CV systems with our infrastructure engineers.

You will design and implement effective performance metrics monitoring rules and alerts to gain insight into how our systems and models are doing.

You will learn many modern techniques for building and maintaining distributed ML systems in public clouds, and apply them towards our many challenges in operating production systems that process ever-growing amounts of video streams!

[What We're Looking For]

Proficiency in programming Python, Go, C or C++.

Experience with implementing computer vision or machine learning algorithms in practice at scale.

Ability to write clean and maintainable code with design documents and unit tests
Good communication skills and a positive attitude to work with colleagues in Taipei and San Francisco.

Proficient English speaking, reading, and writing ability.

Minimum 2 years experience in an AI-related role.

[Nice To Haves]

Experience with designing data-intensive applications.

Experience in container technologies like Docker and Kubernetes.

Prior security industry experience.

Contributions to open-source projects.

Records of active contribution to technical communities, such as contributed or invited talks in relevant conferences.

Practical Agile enthusiast.