Tiliter are the brains behind the fruit and vegetable scanners you may have seen at Woolworths as part of their Scan and Go program. The Founders of Tiliter are all UNSW students and came up through the UNSW Founders Program. Machine Learning Research Engineer Dora (Rui Dong) told us what it is like working as an Engineer in a start-up company.
Sydney-based tech company Tiliter makes computer vision products that use the latest in artificial intelligence to automatically and accurately identify objects. Working at the forefront of machine learning and data analytic algorithms, we’re disrupting industry practices and creating the future now. Our mission is to make computer vision accessible to all and we believe that computer vision can change the world for the better.
Start-ups are young companies founded to develop a unique product or service, bring it to market and create customer demand. Often known as disruptors, and innovative in nature, start-ups address gaps or deficiencies in existing products or markets or create new kinds of goods and services. They challenge existing ways of thinking and doing business.
The key differences between a start-up and a small company are that start-ups want to scale up and significantly disrupt the market; they often secure funding from investors through funding rounds in exchange for equity; and the risk level associated with launching a business in a new market or in significantly disrupting an existing market.
The usual subjects English, PE, Art and all the STEM subjects I could (Physics, Chemistry, Biology, Maths and Computing). However, it's also important to learn how to self-study. By this I mean trying to solve a problem by yourself! Find solutions on the internet, in a book or from a library on your own.
We have software, hardware, machine learning, mechanical and UX engineers. Engineer is a broad job title. Generally, engineers handle the technical side of the work at Tiliter. My title is Machine Learning Research Engineer, I ensure our deep learning models can predict fresh produce accurately. I also develop deep learning systems which involves innovation and coding skills.
The best part about working in a start-up is every day is new, every day brings different challenges, and you need to solve them. The process of constantly solving problems and the outcome of resolved problems always amazes me and keeps me motivated.