Are you ready to help our customers turn their warehouses into the fastest and safest ones on the planet?
OneTrack is a technology company that enables enterprise customers to operate better supply chains by deploying Computer Vision and Machine Learning systems in their warehouses. Over the past 2 years, we built an expansive solution that provides real-time insights and alerts for safety and productivity exceptions in warehouses. Our solution is built on cutting-edge technology, distributed embedded devices, microservices, data ingestion pipelines, APIs, services, and several customer-facing web applications.
We are looking for a highly motivated Deep Learning Engineer to join our team and focus on building cutting-edge Deep Learning enabled pipelines. As part of this role, you will be working on all parts of our productivity stack: starting with data ingestion from our customers' Warehouse Management Systems (WMS) as well as our Computer Vision devices, all the way to model development, testing, and implementation for production tools. You will be going back and forth between research, testing, and implementation, closely collaborating with the team as we go through rapid iteration.
We work extensively with time-series data and in Python, so experience with recurrent neural networks and Python is a must.
In this role, the output of your work will directly influence how efficiently our customers can operate their warehouses. There are a lot of responsibilities and very high expectations. Here at OneTrack, we are resourceful, think simple, and operate with the highest quality and extreme dedication.
We push ourselves past our own limits because we know that we are building the essential tools to turn logistics companies of today into industry leaders of tomorrow.
Below are some of the qualifications we think will be useful to have. Ultimately, however, we are really looking for the right person who has the right mindset, shows thoughtfulness, and extreme ambition. Tell us who you are, who you want to be, and most importantly, show us your portfolio & projects!
Here are some of the things we are looking for: