Hi Pengcheng Xiong, out of interest, why pylucene-dev?
Although I'm not a fan of ads and also recently moved all my personal projects away from AWS, I almost lost my job so I'm free for a while. I was working for a tiny US-based company remotely for last 15 years. The business has declined because the owner had a stroke more than year ago so my objective since then was to help him to maintain the infrastructure till the acquisition by other company. We used pylucene in one of our products, which indexed news from various sources and allowed users to track their searches in real time (we called them watches). Plus some analytics. Not sure I can work on similar things, I need to check non-solicitation section of my contract, there are some restrictions. But general things are okay. Alexander. On Wed, Mar 3, 2021 at 10:37 AM <pxi...@apache.org> wrote: > > Hi folks, > > Are you interested in Amazon’s Advertising (that employs state of art > solutions involving Search, Digital Advertising, AWS technologies etc) > but wondering which team can best leverage your expertise in > Solr/Lucene? Please continue to read: > > My team is Sponsored Search Delivery (SSD) where we directly use Solr to > efficiently render relevant Ads for shoppers. We deliver billions of ad > impressions and millions of clicks daily and are breaking fresh ground > to create world-class products. Powered with Solr, our systems scan > billions of records in milliseconds to return relevant ads. The > architectural excellence is evident from the fact that despite we’ve > such high-throughput-low-tps Tier-1 system, our team enjoys an > exceptionally low operations burden. Our solutions employ latest > ‘information retrieval(IR)’ algorithms and we try to leverage latest > research in IR to ensure superior shopper experience. It’s a great mix > of ‘engineering’ and ‘applied-science’ to render relevant ads within > milliseconds. > > My team is making tremendous investment in Solr research, development > and application this year and the future. For example, we plan to apply > vector search in Solr (SOLR-12890) to extend power of current > keyword-based search to improve ads recall. We are experimenting > approximate nearest vector search (LUCENE-9004) to achieve accuracy at a > reasonable cost. We also plan to leverage rich features of Solr to > return ads based on 'themes' (viz. brand-similar, economical, 4-star > above etc.). We also plan to share the experience and lessons to > Solr/Lucene community and find ways to contribute back to the community. > > With a broad mandate to experiment and innovate, we are growing at an > unprecedented rate together with Amazon Ads business. There is a > seemingly endless range of new opportunities ahead of us. We’re looking > for amazing minds at various positions in team for New York Location > (Primary goal is to expand the team in NYC, However, Location > preferences of Boulder, Seattle, Toronto: can also be considered on case > by case basis). Prior experience in Solr/Lucene would be a great value add. > SDM: www.amazon.jobs/jobs/1427445?no_int_redir=1 > <https://www.amazon.jobs/jobs/1427445?no_int_redir=1> > SDE2: www.amazon.jobs/jobs/1451662?no_int_redir=1 > <https://www.amazon.jobs/jobs/1451662?no_int_redir=1> > SDE3:www.amazon.jobs/jobs/1357591?no_int_redir=1 > <https://www.amazon.jobs/jobs/1357591?no_int_redir=1> > ASII: www.amazon.jobs/jobs/1427080?no_int_redir=1 > <https://www.amazon.jobs/jobs/1427080?no_int_redir=1> > ASIII: www.amazon.jobs/jobs/1379670?no_int_redir=1 > <https://www.amazon.jobs/jobs/1379670?no_int_redir=1> > TPM: www.amazon.jobs/jobs/1353298?no_int_redir=1 > <https://www.amazon.jobs/jobs/1353298?no_int_redir=1> > > If you are interested, please reply this email directly or reach out to > the hiring manager Vikas Dhaka (dhavi...@amazon.com > <mailto:dhavi...@amazon.com>) Thanks! > > Best > > Pengcheng Xiong > > (Apache Hive PMC member and committer working at Amazon) > >
