WHO WE ARE

Fano Labs is a Hong Kong-based artificial intelligence (AI) startup specializing in speech and natural language processing technologies. Fano Labs was founded in 2015 by Dr. Miles Wen, a PhD graduate from the University of Hong Kong (HKU) and a former Fulbright Scholar at University of California, Berkeley and Prof. Victor O.K. Li, BBS; ScD (MIT), Chair of Information and Head of Department of Electrical and Electronic Engineering at HKU. Fano Labs is backed by angel investors, HKU, Hong Kong Science Park (HKSTP), Innovation and Technology Commission of HKSAR, Zeroth.ai, and Horizons Ventures, the private investment arm of Li Ka-shing.

WHY JOINING US

Personal growth. At Fano Labs, whatever your official job title is, you will own some parts of our products, touch the core systems and algorithms, meet our high-profile clients, and understand some business operations etc. We strive to make sure that our teammates can keep challenging themselves, exploring and learning new things, and becoming an even better individual every single day.

Coolest technologies. You should have grown tired of hearing these fancy buzzwords like artificial intelligence (AI), natural language processing (NLP), machine learning (ML), deep learning (DL), and big data (BD) etc. Why not come along and start working on these? If you are already an expert in these domains, we will fully unleash your potentials. If you had limited experiences in these fields, we will make you a cool experts in the years to come.

Comfortable working environment. We adopt flexible working hours with a very spacious office space in Hong Kong Science Park. You will work on cool MacBook Pro's, with comfortable wrist pads, large monitors, and ergonomic chairs. You will have access to powerful GPU machines, enjoy free coffee and snacks and lots of good books.

Stock participation. All full-time team members of Fano Labs will participate in our employee stock option plans (ESOP) and own part of the company.

WHO WE NEED

We welcome people from different backgrounds with different working experiences, but we need you to have

• Proficiency with Python (Java developers are also welcome);
• Basic familiarity with Git and MongoDB;
• Basic familiarity with microservices and RESTful API.

More specific requirements on different roles include:

Backend Engineer

Responsibilities

• Development of product's business logic
• Making magic happen with latest AI technologies.

Technical Requirements

• Solid Skills on algorithms and data structure.
• (Nice to have) Machine Learning technologies e.g. TensorFlow, Keras, SciKit Learn.

Frontend Engineer

Responsibilities:

• Work in a team to deliver all products with strong attention to details.
• Work closely with product and design teams to deliver the best user experiences.
• Deploy and debug cross browser/platform applications.
• You seriously test your changes before hitting the main branch.
• Document your application design and codes.

Technical Requirements:

• Engineering or computer science degree or equivalent.
• Solid understanding on browser behaviours, data structures and design patterns.
• Writing readable, testable and reusable web components/codes in mind.
• Hands on experience in JavaScript frameworks/technologies like React/Redux, webpack, HTML5/LESS or any other relevant, (ES7/Typescript is a PLUS).
• Experience working with RESTful APIs, (GraphQL is a PLUS).
• Experience building progressive web application (Nice to have).
• Experience with workflow Scrum/Kanban, CI/CD, TDD/BDD.

DevOps Engineer

 Responsibilities

• Work closely with engineering teams to deliver the best scaling infrastructure
• System integration, system monitoring, and deployment automations.
• Production system setup and deployment for various customer needs.

Technical requirements 

• Engineering or computer science degree or equivalent 
• Solid understanding on VM, network configuration and system security 
• Writing readable, testable and reusable service components/codes in mind 
• Hands on experience in deployment technologies like Kubernetes/Docker or any other relevant 
• Experience deploying dockerized microservices architecture 
• Experience auto scaling primitive and cloud infrastructure (Nice to have) 
• Experience with workflow Scrum/Kanban, CI/CD, TDD/BDD