Moloco Senior Applied Scientist at Moloco focusing on research projects to optimize software systems and improve performance. Collaborate with cross-functional teams to analyze data, implement algorithms, and stabilize core systems.
Responsibilities
The impact you'll be contributing to Moloco:
The Research Science (RS) team focuses on the operation and optimization of our software systems working closely with infrastructure engineering teams, machine learning teams and data science teams. As an Applied Scientist, you will participate as an individual contributor on research projects alongside other research scientists within the context of a group of cross functional collaborators working in complex multi-causal environments to identify inefficiencies, analyze potential options, and propose solutions. Your work will contribute to driving performance improvements and cost reductions, debugging and investigating production issues, and stabilizing our core system as you develop a deep end-to-end understanding of the system.
Here’s what you’ll be working on:
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.
Analyze massive, high-dimensional datasets from ad auctions and user interactions to uncover insights, define success metrics, and guide modeling and product decisions.
Collaborate closely with product, engineering, and other scientists to iterate on experiments, define roadmaps, and translate business requirements into scientifically sound solutions.
Improve the reliability, latency, and efficiency of online prediction and decision systems by applying rigorous experimentation, monitoring, and continual model refinement.
Qualification
Advanced degree in Computer Science
Required
Advanced degree in Computer Science, Mathematics or related field, or industry experience in optimization of market prices or ML systems
At least 4 years of engineering or applied science experience
Proficient verbal and written English communication skills, with the ability to contribute to the creation of presentations and reports
Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and data science
Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company
