Prosum
Sr. Software Engineer
Pay Range: $75/hour to $85/hour
Our team is seeking a Sr Software Engineer who will be an important team member for our advertising machine learning platform, which focus on prediction and optimization engines for Disneys addressable ad platforms. The right person for this role should be experienced in machine learning technologies as well as solid in backend services. If you are someone who is proactive, inquisitive, and innovative in these domains, this is a phenomenal role for you!
Responsibilities Build next-gen experiment platform for advertising decisioning and A/B testing to fit evolving business needs Build next-gen simulation platform to apply state-of-the-art solutions for complicated ad challenges and to further enhance business performance Develop scalable and efficient approaches for large scale data analysis Collaborate with researchers to productize cutting edge innovations Design scalable distributed systems with performance, scalability, reusability and flexibility Advocate the best engineering practices, including the use of design patterns, CI/CD, code review and automated test As a key member of the team, contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing. Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment Basic Qualifications At least 4 years of professional programming and design experience in Java, Python, Scala, etc. Experience of building industry level high available and scalable micro-service Knowledge of system, application design and architecture Knowledge of big data processing and bigdata technologies Passionate about understanding the ad business and seeking innovation opportunities to enhance business effectiveness. Passionate about technology, and open to interdisciplinary collaborations Preferred Qualifications Domain knowledge about advertising Knowledge for AI/ML technologies and typical technical stacks Experience with big data solutions like Airflow, Databricks, etc. Required Education Bachelors Degree + 5 years of relevant experience
Our team is seeking a Sr Software Engineer who will be an important team member for our advertising machine learning platform, which focus on prediction and optimization engines for Disneys addressable ad platforms. The right person for this role should be experienced in machine learning technologies as well as solid in backend services. If you are someone who is proactive, inquisitive, and innovative in these domains, this is a phenomenal role for you!
Responsibilities Build next-gen experiment platform for advertising decisioning and A/B testing to fit evolving business needs Build next-gen simulation platform to apply state-of-the-art solutions for complicated ad challenges and to further enhance business performance Develop scalable and efficient approaches for large scale data analysis Collaborate with researchers to productize cutting edge innovations Design scalable distributed systems with performance, scalability, reusability and flexibility Advocate the best engineering practices, including the use of design patterns, CI/CD, code review and automated test As a key member of the team, contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing. Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment Basic Qualifications At least 4 years of professional programming and design experience in Java, Python, Scala, etc. Experience of building industry level high available and scalable micro-service Knowledge of system, application design and architecture Knowledge of big data processing and bigdata technologies Passionate about understanding the ad business and seeking innovation opportunities to enhance business effectiveness. Passionate about technology, and open to interdisciplinary collaborations Preferred Qualifications Domain knowledge about advertising Knowledge for AI/ML technologies and typical technical stacks Experience with big data solutions like Airflow, Databricks, etc. Required Education Bachelors Degree + 5 years of relevant experience