Amazon New Product Demand Forecasting | Seattle | Full-Time | On-Site ($130-$250+ depending on experience)
Amazon's New Product Demand Forecasting team is responsible for one of the most challenging problems in supply chain optimization: predicting sales for products that have no sales history. This is a uniquely creative space in Forecasting requiring our machine learning models to capture both the nuances of the global consumer marketplace as well as customer behavior on Amazon.
Our team works closely with research scientists to invent new ways to make use of novel data, solve hard engineering problems around scaling and performance in predicting for tens of millions of products, and iterate quickly in order to stay on the cutting edge.
I'm looking for an experienced software developer that is comfortable with big data and machine learning and can:
* Design systems that provide a stable base for innovation in a rapidly changing business
* Improve Forecasting algorithms through data-driven analysis and experimentation in our Scala/Spark environment
* Optimize for scalability and performance of both distributed computations and near-metal C++ code
* Learn quickly and keep up with a rapidly changing machine learning and big data landscape
* Communicate their ideas clearly with all members of a diverse team
If this sounds interesting, as the hiring manager I'd love to chat or buy you coffee. Email me (Stefan) at smai@ (amazon.com) with your resume and a brief introduction. (Interview process is 1 phone screen and onsite interview with whiteboard coding and behavioral questions about your experience.)
Some guy called 'Robert DesRosiers ' from amazon restaurants contacted me on linkedin, made me take bunch of online tests and then dropped off face of the planet. His linkedin now says he is at Nordstrom, not sure if it was some sort of scam or if he got fired.
I now believe all the horror stories about amazon treating poeple like cattle.
Same experience a few years back with another vertical (video, as I recall), so it's not just you.
I later went through the process far enough to get offers from AWS and Alexa and ... meh. Went with the Other Guys. Seattle is full of people who moved here for Amazon, burned out in 18+- months, and left for other orgs. YMMV, as with any BigCo, but some caution is advised.
I'm really sorry about that. If you send me an email with your name and contact information, I can look into what happened.
Every day I work with incredibly smart, driven, and talented engineers. Treating such valuable individuals "like cattle" is absurd - I go to bat for the engineers on my team every single day I'm at work.
Yes, well, the behavior noted here was toward people who weren't on anyone's team, were they?
That said, hiring well is really hard, especially setting the compensation structure to avoid creating perverse incentives which can result in issues just like these.
Tangentially, as a general rule (below the executive level), external recruiters < in-house recruiters < team members < hiring managers. On average anyway, as there are plenty of individual exceptions either way.
Did a day onsite with Amazon, didn't get the position, asked to reapply later... and within 2 months same e-mail address is hit by 6-7 unique Amazon recruiters. Many for the same hiring event.
Amazon's New Product Demand Forecasting team is responsible for one of the most challenging problems in supply chain optimization: predicting sales for products that have no sales history. This is a uniquely creative space in Forecasting requiring our machine learning models to capture both the nuances of the global consumer marketplace as well as customer behavior on Amazon.
Our team works closely with research scientists to invent new ways to make use of novel data, solve hard engineering problems around scaling and performance in predicting for tens of millions of products, and iterate quickly in order to stay on the cutting edge. I'm looking for an experienced software developer that is comfortable with big data and machine learning and can:
* Design systems that provide a stable base for innovation in a rapidly changing business
* Improve Forecasting algorithms through data-driven analysis and experimentation in our Scala/Spark environment
* Optimize for scalability and performance of both distributed computations and near-metal C++ code
* Learn quickly and keep up with a rapidly changing machine learning and big data landscape
* Communicate their ideas clearly with all members of a diverse team
If this sounds interesting, as the hiring manager I'd love to chat or buy you coffee. Email me (Stefan) at smai@ (amazon.com) with your resume and a brief introduction. (Interview process is 1 phone screen and onsite interview with whiteboard coding and behavioral questions about your experience.)