Moloco is looking to improve the operation and optimization of its software systems by identifying inefficiencies, analyzing potential options, and proposing solutions to drive performance improvements and cost reductions, debug and investigate production issues, and stabilize its core system.
Requirements
- Advanced degree in Computer Science, Mathematics or related field, or industry experience in optimization of market prices or ML systems
- Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and data science
Responsibilities
- Work with other applied scientists on projects to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently.
- Learn from your senior peers how to identify new areas to improve our infrastructure and machine learning components by understanding internal system changes, external changes, and data changes, and identify and suggest interesting/useful next steps for your projects.
- Complete task as part of larger projects to complete deep unbiased analyses.
- Implement, and evaluate new algorithms and features in collaboration with senior Applied Scientists, Software Engineers and Machine Learning Engineers.
Other
- Proficient verbal and written English communication skills, with the ability to contribute to the creation of presentations and reports
- Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company
