Machine Learning Engineer - Activision Blizzard Media

Key Skills

Apache Cassandra, Apache Flink, AWS, C++, Caffe, Data science techniques, Google Cloud Platform (GCP), Java Programming, Machine learning techniques, MySQL, NoSQL, Python Programming, Scikit-learn, SPARK Programming, SQL, TensorFlow, Theano

Job Description

The idea is simple: great game experiences offer great marketing experiences.

If you want to create amazing user experiences using the latest technologies, then this is the right job for you. You're an excellent communicator, happy to work with people from several different business units. You can translate business needs into technical requirements and implementation. We are problem solvers, constantly reviewing how and why we do things and learning from each other. We are experimental, trying out new tech and ideas and willing to take risks to drive the entire industry forward. We are sociable and fun, and we like to hang out together. We are passionate, some might even say quirky, and while we love what we do, our lives are about more than work. We love games, and are obsessed with creating the best player experience.

This role is open to remote working in the following locations: CA, WA, OR, TX, NY, IL. Please reach out to your talent professional for more details.

Responsibilities

• Work as the lead data strategist to identify compelling patterns, partner with stakeholders and come up with the solutions.
• Mine and analyze data to improve product capabilities and help the team to come up with the 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.

Qualifications

• PhD or MS in computer science, engineering or related field.
• Experience in finding patterns, trends and actionable insights from huge data sets.
• 4-8 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.

Rewards

We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World’ - we’ve got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: