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Posted to dev@solr.apache.org by px...@apache.org on 2021/03/03 18:35:58 UTC
Amazon Sponsor Product(Ads) Search team is looking for talents with
expertise in Solr/Lucene at all levels
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 (dhavikas@amazon.com
<ma...@amazon.com>) Thanks!
Best
Pengcheng Xiong
(Apache Hive PMC member and committer working at Amazon)
Re: Amazon Sponsor Product(Ads) Search team is looking for talents
with expertise in Solr/Lucene at all levels
Posted by Andi Vajda <va...@apache.org>.
On Wed, 3 Mar 2021, Alexander Yaworsky wrote:
> All the best, pylucene is nice, especially JCC which we still use to
> make other java libs friends with python.
Thank you for the kind words.
Good luck in your next adventure !
Andi..
>
> Alexander.
>
>
> On Wed, Mar 3, 2021 at 12:27 PM Alexander Yaworsky
> <al...@gmail.com> wrote:
>>
>> 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 <px...@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 (dhavikas@amazon.com
>>> <ma...@amazon.com>) Thanks!
>>>
>>> Best
>>>
>>> Pengcheng Xiong
>>>
>>> (Apache Hive PMC member and committer working at Amazon)
>>>
>>>
>
Re: Amazon Sponsor Product(Ads) Search team is looking for talents
with expertise in Solr/Lucene at all levels
Posted by Alexander Yaworsky <al...@gmail.com>.
Sorry guys, for some reason this emerged here at the time I'm in
active search so could not keep myself in hands :)
Maybe, this is a sign?
All the best, pylucene is nice, especially JCC which we still use to
make other java libs friends with python.
Alexander.
On Wed, Mar 3, 2021 at 12:27 PM Alexander Yaworsky
<al...@gmail.com> wrote:
>
> 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 <px...@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 (dhavikas@amazon.com
> > <ma...@amazon.com>) Thanks!
> >
> > Best
> >
> > Pengcheng Xiong
> >
> > (Apache Hive PMC member and committer working at Amazon)
> >
> >
Re: Amazon Sponsor Product(Ads) Search team is looking for talents
with expertise in Solr/Lucene at all levels
Posted by Alexander Yaworsky <al...@gmail.com>.
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 <px...@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 (dhavikas@amazon.com
> <ma...@amazon.com>) Thanks!
>
> Best
>
> Pengcheng Xiong
>
> (Apache Hive PMC member and committer working at Amazon)
>
>