Senior Principal Machine Learning Engineer

Das ist der Job

Drive innovations that directly impact revenue, customer performance, and marketplace efficiency.

Darum lohnt es sich

Lead a global team of research scientists and applied researchers across multiple geographies. Experience managing globally distributed teams.

Hard Skills Machine Learning Optimization Operations Research Control Theory Economics Auction Design Statistical Modeling Large‑Scale Experimentation Production Systems Campaign Optimization Soft Skills Leadership Communication Stakeholder Management Innovation Scientific Rigor Experimentation Independent Judgment Team Management Cultural Fostering Business Impact Certifications & Qualifications Ph.D. in Electrical Engineering Ph.D. in Computer Science Ph.D. in Operations Research Ph.D. in Applied Mathematics Ph.D. in Statistics Ph.D. in Economics #J-18808-Ljbffr Lead a world‑class organization of research scientists and machine learning experts focused on developing the next generation of optimization, prediction, targeting, and marketplace systems.

Define the scientific vision, research agenda, and technical strategy for large‑scale advertising and marketing platforms. Translate cutting‑edge research into production systems operating at internet scale while partnering closely with Product, Engineering, Data Science, and Business leadership.

Define and execute the long‑term research strategy for optimization, targeting, bidding, forecasting, and marketplace systems. Identify emerging opportunities in machine learning, artificial intelligence, optimization, and computational economics. Foster a culture of scientific rigor, innovation, experimentation, and measurable business impact.

Drive development of large‑scale machine learning systems for prediction, recommendation, targeting, and campaign optimization. Oversee research from problem formulation through experimentation, deployment, and production monitoring.

Lead innovation across demand‑side platform (DSP) optimization, campaign delivery, supply optimization, and audience targeting systems.

Requirements Ph.D. in Electrical Engineering, Computer Science, Operations Research, Applied Mathematics, Statistics, Economics, or related quantitative field. 15+ years of experience developing machine learning and optimization systems. 10+ years of leadership experience managing research scientists and technical organizations.

Demonstrated success deploying research innovations into production environments at scale. Deep expertise in several of the following: Machine Learning, Optimization, Operations Research, Control Theory, Economics and Auction Design, Statistical Modeling, Large‑Scale Experimentation.

Track record of publications, patents, or significant scientific contributions. Exceptional communication and executive stakeholder management skills. Experience leading research organizations within digital advertising, marketing technology, marketplaces, or internet‑scale platforms.

Expertise in demand‑side platforms (DSPs), bidding systems, targeting technologies, or advertising optimization. Strong record of academic and industry thought leadership. Consistent exercise of independent judgment and discretion in matters of significance. Regular, consistent and punctual attendance.

Must be able to work nights and weekends, variable schedule(s) as necessary.