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b***i
发帖数: 10018 | 1 有两种职位，Data Engineer和Data Research Engineer。给办H1-b和绿卡。Junior也
欢迎。
有意者请把简历发到t*******[email protected]。谢谢。
Senior Data Engineer at Tapjoy in San Francisco, CA
Sr. Data Engineer
About Us:
Tapjoy is a mobile value exchange platform, driving personalized app
discovery for consumers, customer acquisition and engagement for app and
brand advertisers, and rich monetization for innovative developers. The
Tapjoy network spans over 20,000 apps and 800 million global consumers on
iOS, Android and Windows Phone. Tapjoy is headquartered in San Francisco
with offices in 15 cities across the U.S., Asia and Europe. Investors
include InterWest Partners, North Bridge Venture Partners, D.E. Shaw
Ventures, Rho Ventures and J.P. Morgan Asset Management.
Technologies We Use:
Our philosophy is to “get stuff done”, and the tools we use reflect that.
We use Agile development practices, iterating quickly on features and
deploying them as soon as they are ready, often multiple times per day. We
leverage many open source tools and cloud-based solutions, including:
Ruby on Rails (Apache/Passenger)
Amazon Web Services
EC2
RDS (MySQL)
SimpleDB (NoSQL)
Elasticache (Memcached)
S3
ELB/Auto-scaling
SQS
Cloudfront
Hadoop/Hive/Hue
Mahout
Vertica
Git/Github
Haml/jQuery/jQTouch/Webkit Transitions
Syslog-ng
Sr. Data Engineer
Tapjoy, look for a proactive and outgoing Data/ETL software engineer to work
closely with our data science group on a plethora of interesting Big Data
projects harnessing data from 600 Million+ mobile devices. We need someone
who has worked for 3+ years in very high volume environments, with very
large data sets in a fast paced environment. Tapjoy is Big Data driven!
Role and Responsibilities:
ETL data warehousing software developer
Qualifications:
Familiar with Hadoop/Hive (don't need be an expert)
Scripting language: Ruby, Perl, Python or Shell Scripting
Proficient with SQL, write queries with performance and tuning on mind
Worked on ETL project before – we are processing billions of raw events
daily, knowing how to scale is a big plus
Data instrumentation/capture/tracking experience a big plus
In addition to the above hard skills, the successful candidate will clearly
demonstrate the ability to work independently as part of a team that makes
use of an iterative development approach. The candidate must thrive in a
rapidly changing environment and take initiative to ensure that projects
succeed. This is data engineer that is driven by data processing within an
ever changing landscape that involves working with scaling systems using
MapReduce.
===================================================================
Senior Data Research Engineer at Tapjoy in San Francisco, CA
Senior Data Research Engineer
About Us:
Tapjoy is a mobile value exchange platform, driving personalized app
discovery for consumers, customer acquisition and engagement for app and
brand advertisers, and rich monetization for innovative developers. The
Tapjoy network spans over 20,000 apps and 800 million global consumers on
iOS, Android and Windows Phone. Tapjoy is headquartered in San Francisco
with offices in 15 cities across the U.S., Asia and Europe. Investors
include InterWest Partners, North Bridge Venture Partners, D.E. Shaw
Ventures, Rho Ventures and J.P. Morgan Asset Management.
Technologies We Use:
Our philosophy is to “get stuff done”, and the tools we use reflect that.
We use Agile development practices, iterating quickly on features and
deploying them as soon as they are ready, often multiple times per day. We
leverage many open source tools and cloud-based solutions, including:
Ruby on Rails (Apache/Passenger)
Amazon Web Services
EC2
RDS (MySQL)
SimpleDB (NoSQL)
Elasticache (Memcached)
S3
ELB/Auto-scaling
SQS
Cloudfront
Hadoop/Hive/Hue
Mahout
Vertica
Git/Github
Haml/jQuery/jQTouch/Webkit Transitions
Syslog-ng
Senior Data Research Engineer
Our Data Group is looking for a talented data driven engineer that will work
closely with our data science group leveraging machine learning techniques
to apply to the BigData points from the 750 million+ mobile devices with our
platform imprint. We need someone that has worked in a high volume data
environment.
Responsibilities
Implement the application recommendation algorithm in production and build
personalized mobile app recommendation in a scalable way (serving 10's of
millions of users)
Build a generalized a/b test framework to support multivariate testing
covering UI layout/ component change/user segmentation and bucketing/meta
data driven auto experiment set up etc.
The research engineer role focuses more on the implementation and build a
production ready features off the algorithm/prototype the scientist delivers
The role is more about engineering, and is less about science/research.
Requirements
Proficient with Ruby on Rails
Experience with NoSQL DB
Experience with algorithm, understand general machine learning/data mining
concepts
3 plus years of experience in a high volume data environment
Experienced web developer
Knowing Hadoop, Vertica is a plus, but not required.
In addition to the above hard skills, the successful candidate will clearly
demonstrate the ability to work independently as part of a team that makes
use of an iterative development approach. The candidate must thrive in a
rapidly changing environment and take initiative to ensure that projects
succeed. This is data engineer that is driven by data processing within an
ever changing landscape that involves working with scaling systems using
MapReduce. | a*******y
发帖数: 1040 | 2 没用过ruby on rail但是目前从事的是data mining，machine learning行吗？平时主
要用C++ | b***i
发帖数: 10018 | 3 可以的。欢迎投简历。
【在 a*******y 的大作中提到】
: 没用过ruby on rail但是目前从事的是data mining，machine learning行吗？平时主
: 要用C++
| g*******n
发帖数: 214 | | b***i
发帖数: 10018 | 5 欢迎，可以投data engineer position。
【在 g*******n 的大作中提到】
: fresh ms 有戏么？
| b***i
发帖数: 10018 | 6 刚刚加了Data Research Scientist的Job description:
Research Scientist - Machine Learning at Tapjoy in San Francisco, CA
About Tapjoy
A SF-based Private company, Tapjoy (www.tapjoy.com) is the leader in
discovery, engagement, and monetization services for mobile applications.
The company's turnkey in-app advertising platform helps developers, agencies
and brands acquire cost-effective, high-value new users, drive engagement
within their applications, and create incremental income by providing an ad-
funded payment method. The Tapjoy network spans over 10,000 apps and 280
million global consumers on iOS, Android and other emerging mobile platforms
, delivering more than 1 million advertising actions per day to app
developers and advertisers. Tapjoy is headquartered in San Francisco with
offices in Silicon Valley, London and Tokyo.
Tapjoy has amazing track record of growth during the last few years and has
been profitable since 2010. There is entrepreneurial dynamics, upside of a
start-up and the financial security of an established company. Tapjoy has
thousands of customers and just raised $30 Million from Tier-1 Venture
Capital firms for expansion and acquisitions bringing our total capital
raised to $71MM.
The Tapjoy management team is led by seasoned Internet, gaming and
advertising industry executives, and the company is backed by top-tier
venture capital firms InterWest Partners, North Bridge Venture Partners, Rho
Ventures, JP Morgan and D. E. Shaw Ventures.
Technologies we use-
Our philosophy is to “get stuff done”, and the tools we use reflect that.
We use Agile development practices, iterating quickly on features and
deploying them as soon as they are ready, often multiple times per day. We
leverage many open source tools and cloud-based solutions, including:
Ruby on Rails (Apache/Passenger)
Amazon Web Services
EC2
RDS (MySQL)
SimpleDB (NoSQL)
Elasticache (Memcached)
S3
ELB/Auto-scaling
SQS
Cloudfront
Hadoop/Hive/Hue
Mahout
Vertica
Git/Github
Haml/jQuery/jQTouch/Webkit Transitions
Syslog-ng
Research Scientist – Machine Learning
We are growing our specialized production research scientist team to add at
least two additional scientists with a focus on product development. The
first would be focused more on machine learning and personalization and the
second will be a data analytics guru. The role below focuses more on Machine
Learning.
Responsibilities:
Build a comprehensive recommendation system from the ground up (recommending
mobile apps, content, etc.)
Build a data/stats-driven ad optimization system, working closely with the
product team
Constantly experiment and improve the relevancy of the recommendation/ad
optimization system
Invent and improve algorithms given a set of business cases and help
implement them in production
Requirements:
B.S., M.S., or Ph.D. in Computer Science or equivalent
Solid programming skills (Java, Ruby, Python or Perl)
Ability to work in a fast paced, test-driven collaborative and iterative
programming environment
Understand major recommendation algorithms (Collaborative Filtering, Matrix
factorization, Naive Bayes, Boosting method)
Understand various ad optimization algorithms (CTR prediction, eCPM
optimization, user targeting and segmentation, RTB and real-time
optimization)
Strong understanding of Algorithms, Data Structures and Machine Learning /
Data Mining
Understanding of RDBMS, SQL and NoSQL alternatives
Experience with Hadoop/Hbase/Pig or Map-reduce/Mahout/Bigtable is a plus
Previous experience with performance-based ad systems is a plus
Understanding of clustering and classification techniques (Naive Bayes, SVM,
NN, Boosting Methods, etc.) is a plus
‘It’s an exciting job with awesome perks, in the fastest and largest
growing industry in the world!’
Competitive Compensation
Comprehensive Medical, Dental and Vision Benefits
Paid Time Off
A downtown San Francisco Headquarters, easily accessible by Public Transit
Equipped with the latest MacBook Airs & Pros, Cinema Displays and iOS/
Android Phones/Tablets
Neverending snacks and 2 kegerators with delicious beers on tap for your
enjoyment!
Lunch on us when working from our SF Headquarters | B********a
发帖数: 110 | |
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