This job listing expired on Apr 17, 2020
Activision Blizzard Media, a wholly-owned subsidiary of Activision Blizzard is a rapidly growing start-up business unit built to connect brands with our 350M + global player base across Activision, Blizzard and King.
We are hiring a Lead Software Engineer, Data in our Ads Engineering team, empowering cutting edge mobile advertising technologies to create the next generation of our Ads Platform.
Your role within Activision Blizzard Media
- Work as the lead data strategist to help identify compelling patterns and advise the solutions.
- Mine and analyze data to improve product capabilities and help the team to come up with new products.
- Identify new data sources and features and collects large data sets to build new models.
- Aggregate huge amounts of data and information from large numbers of sources to discover patterns and features necessary to build machine learning models for prediction and forecasting.
- Design and implement end- to- end solutions using Machine Learning, Optimization, and other advanced computer science technologies, and own live deployments to drive advertising conversion.
- Improve the run- time of existing algorithms.
- Develop and maintain the necessary infrastructure to run and maintain the algorithms.Develop a feedback system to improve the selection of features for the algorithms.
Skills to create thrills
- PhD or MS in computer science, engineering or related field.
- Experience in finding patterns, trends and actionable insights from huge data sets.
- 10 years of experience as machine learning engineer / data scientist.
- You have expertise in one or more object- oriented languages, including Python, Go, Java, or C++, and an eagerness to learn more
- Experience with both machine learning and building scalable production services.
- Experience with distributed storage and database systems, including SQL or NoSQL, MySQL, or Cassandra.
- Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
- A strong desire to learn the details of advanced machine learning algorithms.
- Ability to communicate effectively between Product managers, business teams, data analysts and production engineers, both in code and conversation.
- Ability to solve complex business problems and apply machine learning to optimize critical business metrics.
- Strong adherence to metrics driven development, with a disciplined and analytical approach to product development.
Preferred Qualifications
- Experience in stream processing—Storm, Spark, Flink etc.— and graph processing technologies.
- Experience working with AWS or Google Cloud Platform (GCP).
- Experience of working with advertising platform.