求Tony Xu 俱乐部推荐# Living
c*n
1 楼
My friend's team has multiple openings. The job descriptions are below.
If interested, please send email to e*****[email protected] for refer or apply on
ea.com directly. Thank you.
--------------------------------------------------------------------
New Graduate: Software Engineer - Data Engineering (4284) or Sr. Data
Platform Engineer (8594)
Responsibilities:
• Help define and build a unified data platform across EA, spanning
20+ game studios as data sources
• Develop infrastructure software that slice and dice data, using
Hadoop and Map/Reduce
• Design and Develop reporting systems that inform on key metrics,
detect anomalies, and forecast future results
• Develop complex queries to solve data mining problems
• Write reliable and efficient programs scaling to massive (petabyte)
datasets and large clusters of machines
• Flexibility to work with both SQL and NoSQL solutions
• Work closely with data modelers, business data analysts, and BI
developers to understand requirements, develop ETL processes, validate
results, and deliver to production
• Analyze and improve efficiency, scalability, and stability of data
collection, extraction, and storage processes
Required Skills
• BS, MS, PhD in Computer Science or related technical discipline (or
equivalent)
• Experience working with large-scale systems and data platforms/
warehouses
• A solid foundation in computer science, with strong competencies in
algorithms, data structures, and software design
• Software development experience, writing clean re-useable code,
test-driven development, and continuous integration
• Experience with MapReduce, Hadoop, Hive, or other NoSQL stacks a
strong plus
• Fluency with Java, SQL, Perl/Python, or C++
• Fast prototyping skills, familiarity with scripting languages such
as bash, perl, awk, python
• Experience working with columnar analytics databases or relational
databases is a plus
• Experience with data modeling and BI tools is a plus
• Self-directed and capable of working effectively in a highly dynamic
fast-paced environment
• Great communication, time-management, and teamwork skills
Machine Learning Scientist (7842)
Major responsibilities
• Use machine learning techniques to create scalable solutions for
business problems in the gaming domain
• Analyze and extract key insights from EA’s rich store of gamer and
gameplay data
• Design, development and evaluation of highly innovative models for
predictive learning for applications like recommendations and
targeting.
• Work closely with the core development teams to deploy models
seamlessly as part of production systems
• Establish scalable, efficient, automated processes for large scale
data analyses, model development, model validation and model
implementation
• Research and implement novel machine learning algorithms for new
business problems.
Qualifications
• PhD. in Computer Science with a focus on machine learning
• Track record of having developed novel machine learning algorithms,
SIGKDD/ICML/NIPS publications a plus
• Hands-on experience in predictive modeling and analysis over large
volumes of data
• Strong Problem solving ability
• Strong Programming skills in C/C++ or Java
• Experience with large scale distributed programming paradigms –
experience with the Hadoop stack(HDFS/MR/Pig/Hive) a plus
• Experience with R/SAS/SPSS
• Experience with SQL and MPP databases.
• Excellent written and verbal communication and skills
If interested, please send email to e*****[email protected] for refer or apply on
ea.com directly. Thank you.
--------------------------------------------------------------------
New Graduate: Software Engineer - Data Engineering (4284) or Sr. Data
Platform Engineer (8594)
Responsibilities:
• Help define and build a unified data platform across EA, spanning
20+ game studios as data sources
• Develop infrastructure software that slice and dice data, using
Hadoop and Map/Reduce
• Design and Develop reporting systems that inform on key metrics,
detect anomalies, and forecast future results
• Develop complex queries to solve data mining problems
• Write reliable and efficient programs scaling to massive (petabyte)
datasets and large clusters of machines
• Flexibility to work with both SQL and NoSQL solutions
• Work closely with data modelers, business data analysts, and BI
developers to understand requirements, develop ETL processes, validate
results, and deliver to production
• Analyze and improve efficiency, scalability, and stability of data
collection, extraction, and storage processes
Required Skills
• BS, MS, PhD in Computer Science or related technical discipline (or
equivalent)
• Experience working with large-scale systems and data platforms/
warehouses
• A solid foundation in computer science, with strong competencies in
algorithms, data structures, and software design
• Software development experience, writing clean re-useable code,
test-driven development, and continuous integration
• Experience with MapReduce, Hadoop, Hive, or other NoSQL stacks a
strong plus
• Fluency with Java, SQL, Perl/Python, or C++
• Fast prototyping skills, familiarity with scripting languages such
as bash, perl, awk, python
• Experience working with columnar analytics databases or relational
databases is a plus
• Experience with data modeling and BI tools is a plus
• Self-directed and capable of working effectively in a highly dynamic
fast-paced environment
• Great communication, time-management, and teamwork skills
Machine Learning Scientist (7842)
Major responsibilities
• Use machine learning techniques to create scalable solutions for
business problems in the gaming domain
• Analyze and extract key insights from EA’s rich store of gamer and
gameplay data
• Design, development and evaluation of highly innovative models for
predictive learning for applications like recommendations and
targeting.
• Work closely with the core development teams to deploy models
seamlessly as part of production systems
• Establish scalable, efficient, automated processes for large scale
data analyses, model development, model validation and model
implementation
• Research and implement novel machine learning algorithms for new
business problems.
Qualifications
• PhD. in Computer Science with a focus on machine learning
• Track record of having developed novel machine learning algorithms,
SIGKDD/ICML/NIPS publications a plus
• Hands-on experience in predictive modeling and analysis over large
volumes of data
• Strong Problem solving ability
• Strong Programming skills in C/C++ or Java
• Experience with large scale distributed programming paradigms –
experience with the Hadoop stack(HDFS/MR/Pig/Hive) a plus
• Experience with R/SAS/SPSS
• Experience with SQL and MPP databases.
• Excellent written and verbal communication and skills
