QuinStreet

QuinStreet

Senior Machine Learning Engineer - Ranking

United States · Senior

Sponsorship not specifiedDetected 2 days ago
PythonDistributed SystemsAlgorithmsSQLCI/CDMachine LearningStatisticsA/B TestingResearchCommunicationCollaboration

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 100%

Of 6 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 433 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Powering Performance Marketplaces in Digital Media QuinStreet 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.
  • They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results.

Responsibilities

  • Design and improve ranking systems through rigorous measurement and experimentation
  • translate broad goals into clear metrics and deliver steady, validated gains.
  • Advance evaluation practices (clean test design, offline & online alignment) and help teams make evidence-based decisions.
  • Build high-value signals and features with reliable offline/online pipelines and robust monitoring. Incorporate content understanding signals such as text/image/metadata.
  • Partner with Engineering, Product, Business and Analytics to ship resilient solutions end-to-end.
  • Design and improve ranking systems through rigorous measurement and experimentation; translate broad goals into clear metrics and deliver steady, validated gains.

Requirements

  • Advanced degree (MS/PhD) in CS, Statistics, or related field, with 3+ years post-PhD or 5+ years industry experience.
  • Proficiency in Python and solid software engineering practices (testing, CI/CD).
  • Experience working with large-scale datasets, distributed systems, and latency-sensitive production ML.
  • Proficiency in SQL is desired.
  • Knowledge about Linear Algebra, Combinatorial optimization is desired.
  • Proficiency in scalable software design and development.

Nice to have

  • Exposure to multimodal signals (text/image/metadata) is a plus, not required.

Skills

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

Compensation

  • The expected salary range for this position is $140,000 USD to $170,000 USD annually.
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