There is a lot of noise, of dozens of electric conveyor motors, and of metal carts that rattle loudly. The union provides a buffer between workers and management.Īn observation before interview is the standard, but here is a description since it speaks for itself in reviewing the quality and characteristics of this job. After one year, you get a couple weeks of paid vacation. There are benefits for medical and dental. A pay increase is guaranteed per year, either from union or state minimum wage increase, but not both. It is part-time, and you start at minimum wage. In the course of your work, you'll have to abide by the company's safety guidelines while manuevering around yard hazards, stairs, etc., an. The hard work is actually handling and delivering packages, especially large and/or heavy ones. The most complex part of the job is learning to operate the DIAD quickly and accurately. In some cases, or with some drivers, you may be asked to be the one to sort and organize the packages. Meanwhile, your driver will either run another package to a home or business nearby or, more likely, stay on the truck and sort/organize the packages in back. Typically, you'll be running packages to their destinations and operating the DIAD. You won't have much contact with management, so they are your bosses. Your responsibilities as a helper look like one thing on paper, but may vary depending on what your driver(s) ask you to do. Most of the time you will be paired with the same driver, but as the season progresses, you could end up with someone else, and even be with multiple drivers in one day! I myself have had 2 different drivers on 2 separate occasions. You'll be called by either a coordinator from the center you're working out of, or a driver, and told when and where to meet your driver for that day. Neighbor classifier based on Dynamic Time Warping.I worked with UPS as a Driver Helper this past holiday season, and it was everything I had hoped for and more.įirst off, your typical day as a driver helper can range from pretty simple to complicated. Over the embeddings given by a domain-specific RNN, as well as (ii) a nearest Yields significantly better performance compared to (i) a classifier learned Vehicles, we observe that a classifier learned over the TimeNet embeddings For several publicly availableĭatasets from UCR TSC Archive and an industrial telematics sensor data from Useful for time series classification (TSC). Representations or embeddings given by a pre-trained TimeNet are found to be Once trained, TimeNet can be usedĪs a generic off-the-shelf feature extractor for time series. Series from several domains simultaneously. To generalize time series representation across domains by ingesting time Rather than relying on data from the problem domain, TimeNet attempts Using sequence to sequence (seq2seq) models to extract features from time Neural network (RNN) trained on diverse time series in an unsupervised manner Generic feature extractors for images, we propose TimeNet: a deep recurrent Authors: Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff Download PDF Abstract: Inspired by the tremendous success of deep Convolutional Neural Networks as
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