Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad targeting using data, that same robust performance powered by machine learning has previously been unavailable beyond their platforms. Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while enabling companies to stay independent and scale.
Requirements
- Currently enrolled in a Bachelor's, Master’s or PhD program in a technical or quantitative discipline.
Responsibilities
- Work on and improve various components of our ad-tech stack including ranking, retrieval, auction/bidding and budget pacing.
- Conduct deep-dive analysis to influence R&D decisions and strategies: analyze a large dataset with queries and scripts, extract valuable signals out of noise, and produce actionable insights into how we could optimize Moloco’s complex bidding system.
- Design and deploy advanced optimization approaches to improve our ad-delivery: identifying the best ranking, retrieval and bidding strategies that strike the right balance between ROI and revenue trade-offs.
- Validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modeling.
- Developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making.
- Stay up-to-date with the latest researches and developments in experimentation and causal inference, and identify opportunities of applying these techniques to business challenges
Other
- Able and willing to work from our Redwood City, CA. office.
- Must be able to work full-time (40-hours per week) for 12-weeks during the summer of 2026 (May - September).
- Candidates pursuing a Bachelor's or Master's degree must be graduating and obtaining the degree by June of 2027.
- Ability to manage multiple projects at the same time while paying attention to detail and translate analysis results into business recommendations.
- Ability to work independently, owning projects end-to-end, solving problems without much guidance.
