Senior Machine Learning Engineer - Ranking
QuinStreet2 months ago
Base Salary
$140k - $170k/yr
Responsibilities
- Design and improve ranking systems through measurement, experimentation, clear metrics, and validated performance gains.
- Advance offline and online evaluation practices, including test design and alignment between evaluation environments.
- Build high-value features and signals using reliable pipelines, monitoring, and text, image, and metadata inputs.
- Manage uncertainty, calibration, model drift, and long-term model stability.
- Partner with Engineering, Product, Business, and Analytics teams to ship resilient end-to-end solutions.
Requirements
- Hold an advanced degree (MS or PhD) in Computer Science, Statistics, or a related field.
- Have either 3+ years of experience after a PhD or 5+ years of industry experience.
- Demonstrate strong applied machine learning, statistics, and optimization foundations with impact in ranking or recommendations.
- Be proficient in Python and solid software engineering practices, including testing and CI/CD.
- Have experience with large-scale datasets, distributed systems, and latency-sensitive production machine learning.
- Preferred qualifications include production ranking systems, feature and signal pipelines, feature stores, ML observability, large-scale A/B testing, variance reduction, monitoring, calibration, concept drift detection, adaptive or online learning, SQL, linear algebra, combinatorial optimization, scalable software development, and multimodal signals.
- Communicate clearly, collaborate cross-functionally, and demonstrate ownership.
Benefits
- Remote position.
- Eligible for performance bonus or commission and restricted stock unit equity.
- Standard employee benefits include health care, retirement benefits, paid sick leave, parental leave, paid time off, vacation benefits, and other tax-reportable benefits.
Categories
About QuinStreet
QuinStreet builds and runs performance-marketing marketplaces that connect researching consumers with brands, primarily in financial services, education, and home services. Advertisers use its segmentation and matching technology to buy media on a pay-for-performance basis (leads, clicks, or acquisitions) across QuinStreet-owned and private-label sites. Founded in 1999 and headquartered in Foster City, California, QuinStreet is a public company traded on NASDAQ.