Wristcheck is hiring a Machine Learning Engineer

About Wristcheck

Wristcheck is a pioneering watch platform built on transparency and trust. We combine offline retail with cutting-edge tech and innovation to revolutionise the way people buy, sell, and learn about watches. 

Launched in Hong Kong in 2020, we aspire to become the premier destination for watch commerce and culture. Our marketplace connects a worldwide community of collectors, whilst our editorial content shines light on everything you need to know about horology. Wherever you are in your collecting journey, we want to empower you to keep growing!

Wristcheck is backed by Gobi Partners GBA, a pan-Asian VC firm that manages the Alibaba Entrepreneurs Fund (AEF), with participation from K3 Ventures.

About the Role:

We are currently seeking a seasoned Senior Machine Learning Engineer to lead the development of our latest project - the Wristcheck Price Index. This is a brand new feature that we're super excited about! Our Price Index will be the first-of-it's-kind resource for enthusiasts to unlock accurate pricing for watches on the secondary market, bringing even greater transparency to watch buying and selling. In addition to this, you'll continually contribute to and build upon our other machine learning projects, which include image recognition, search optimization, product recommendation, and product ranking. If you are a self-starter with a passion for data and machine learning, then this is an exciting opportunity for you to have a significant impact on our business and technology.

What you'll be doing:

• Lead the development and maintenance of Wristcheck's Price Index - this is our revolutionary new feature that provides greater transparency on watch prices on the secondary market
• Play a key role in further developing other machine learning projects, such as image recognition, search optimization, product recommendation, and product ranking.
• Oversee the company's data architecture and manage the data flow through various applications.
• Contribute to data mining, cleaning, and visualization processes to ensure quality and usability.

• A bachelor’s degree in computer science, software engineering, AI or a related discipline
• 5+ years of experience in software development
• Excellent programming knowledge in Python, R, SAS, or Scala.
• Experience with machine learning (Tensorflow, Pytorch)Profound understanding of Machine Learning algorithms.
• Experience with data infrastructure technologies for ETL pipeline, data warehouse, and data lake, such as AWS, Airflow, Athena, Redshift, Glue, snowflake is a plus.

• The chance to make your mark by pioneering innovative solutions in an exciting emerging marketplace
• Ownership and responsibility from day one - have a real impact on the company's growth
• An open minded, transparent and people-first culture
• A true idea meritocracy where the best ideas win, regardless of who or where they come from 
• Work with people who are passionate and love what they do everyday