
Senior Machine Learning Engineer β Ranking
Posted Nov 4

Posted Nov 4
This is a fully remote position, open to applicants in United States.
β’ Design and enhance ranking systems through thorough measurement and experimentation.
β’ Transform overarching goals into specific metrics and ensure consistent, validated improvements.
β’ Elevate evaluation methodologies, including precise test design and alignment between offline and online results.
β’ Develop high-value signals and features utilizing dependable offline and online pipelines with comprehensive monitoring.
β’ Integrate content understanding signals such as text, images, and metadata.
β’ Make decisions that account for uncertainty, managing drift and calibration to keep models stable and reliable.
β’ Collaborate with Engineering, Product, Business, and Analytics to deliver robust end-to-end solutions.
β’ Advanced degree (MS/PhD) in Computer Science, Statistics, or a related field, with a minimum of 3 years post-PhD experience or 5 years of industry experience.
β’ Strong foundation in applied machine learning, statistics, and optimization, with proven results in ranking and recommendations.
β’ Proficiency in Python along with solid software engineering practices, including testing and CI/CD.
β’ Experience with large-scale datasets, distributed systems, and latency-sensitive production machine learning.
β’ Excellent communication skills, ability to collaborate cross-functionally, and a mindset of ownership.
β’ Performance bonus or commission.
β’ Equity in the form of restricted stock units.
β’ Health care benefits.
β’ Retirement benefits.
β’ Paid sick leave.
β’ Parental leave.
β’ Paid time off or vacation benefits.
β’ Other tax-reportable benefits.
Narvar
HOOK
TELUS Digital
Natera
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