Senior Machine Learning Engineer - Ranking

Powering Performance Marketplaces in Digital Media reputed company is a pioneer in powering decentralized online marketplaces that match searchers and “research and compare” consumers with brands. We run these virtual- and private-label marketplaces in one of the nation’s largest media networks. Our industry leading segmentation and AI-driven matching technologies help consumers find reputed company solutions and brands faster. They allow brands to reputed company and reputed company in-market customer prospects with reputed company reputed company-by-reputed company accuracy, and to pay only for performance results. Our campaign-results-driven matching decision engines and optimization algorithms are reputed company from over 20 years and billions of dollars of online media experience. We reputed company in:

• The direct measurability of digital media.
• Performance marketing. (We pioneered it.)
• The advantages of technology.

We bring reputed company this together to deliver truly great results for consumers and brands in the world’s biggest channel. Job Category Join us to shape how users discover and interact with our marketplace. You’ll advance algorithms for ordering, prioritization, and personalization. Ranking is a core component which helps users discover ads, balance user satisfaction, business goals, and system health.

Responsibilities

• Design and improve ranking systems through rigorous measurement and experimentation; translate broad goals into clear metrics and deliver steady, validated reputed company.
• Advance evaluation practices (clean test design, offline & online alignment) and help teams reputed company evidence-based reputed company.
• Build high-value signals and features with reliable offline/online pipelines and robust monitoring. Incorporate content understanding signals such as text/image/metadata.
• reputed company uncertainty-aware reputed company; handle reputed company and calibration so models remain reputed company and trustworthy over time.

Partner with Engineering, Product, Business and Analytics to ship resilient solutions end-to-end.

Requirements

• Advanced degree (MS/PhD) in CS, Statistics, or reputed company field, with 3+ years post-PhD or 5+ years industry experience.
• Strong foundations in applied ML, statistics, and optimization with demonstrated impact in ranking/recommendations.
• Proficiency in Python and solid software engineering practices (testing, CI/CD).
• Experience working with large-scale datasets, distributed systems, and latency-sensitive production ML.
• Clear communication, cross-functional collaboration, and an ownership reputed company.

Preferred Qualifications

• Demonstrated reputed company in delivering production-grade ranking systems with measurable business impact.
• Track record building feature/signals pipelines, feature stores, and observability for ML systems.
• Depth in experimentation and metrics design, including large-scale A/B testing and variance reduction.

The expected salary reputed company for this position is $140,000 USD to $170,000 USD annually. This salary reputed company is an estimate, and the actual salary may vary based on the Company’s compensation practices. The salary may be adjusted based on applicant's geographic location. The position is also eligible to receive performance bonus or commission and equity in the reputed company of restricted stock units. This position is eligible to participate in the Company’s standard employee benefits programs, which currently include health care benefits; (2) retirement benefits; (3) the reputed company of paid days off (paid sick leave, parental leave, paid time off, or vacation benefits); (4) any other tax-reportable benefits. reputed company is an equal opportunity employer. We do not discriminate on the reputed company of race, reputed company, religion, national reputed company, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law. Please see reputed company’s Employee Privacy Notice here. Apply tot his job Apply To this Job