Senior Machine Learning Engineer, Ads - Quora (Remote)

Quora
United States, Ireland, Canada
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Leadership","Communication"]

Own the end-to-end development and improvement of Quora’s ads ranking machine learning systems. You’ll build and calibrate models to improve CTR/CVR prediction and ranking quality, translate research into production with fast iteration, and evaluate advances in deep learning and recommendation modeling under latency and reliability constraints. Collaborate across ML platform, product, and data science teams to define objectives, design A/B experiments, and measure impact on advertiser performance, revenue, and user relevance.

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FursaFursa
Quora
Quora
12 hours ago

Senior Machine Learning Engineer, Ads - Quora (Remote)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Own the end-to-end development and improvement of Quora’s ads ranking machine learning systems. You’ll build and calibrate models to improve CTR/CVR prediction and ranking quality, translate research into production with fast iteration, and evaluate advances in deep learning and recommendation modeling under latency and reliability constraints. Collaborate across ML platform, product, and data science teams to define objectives, design A/B experiments, and measure impact on advertiser performance, revenue, and user relevance.
Location: United States, Ireland, Canada
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and improve ads ranking models, including prediction objectives, feature interactions, user-history modeling, and calibration.
  • •Own machine learning systems end to end, from data pipelines and feature engineering through training, evaluation, and integration into production.
  • •Evaluate and apply advances in deep learning and recommendation modeling to improve ranking within production latency, reliability, and cost constraints.
  • •Collaborate with ML platform and product engineers to build scalable, efficient production machine learning systems.
  • •Partner with product, data science, and engineering teams to define ranking objectives, design A/B experiments, and measure improvements in advertiser performance, revenue, and user relevance.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionEquityRemote WorkPaid LeaveEmployee Assistance

Key Requirements

  • •4+ years of professional software development experience in machine learning, with demonstrated ownership of production improvements.
  • •Hands-on experience developing and deploying ads ranking models at scale, including CTR or CVR prediction and calibration.
  • •Experience evaluating ranking models using offline analysis and online experiments, including investigating gaps between metrics and business outcomes.
  • •Hands-on experience building and deploying deep learning models with PyTorch or TensorFlow.
  • •BS, MS or PhD in Computer Science, Engineering, or a related technical field.
Experience:4+ yearsMachine learningAdvertisingRecommendation systemsDeep learning
Education:Bachelor's in Computer Science, Engineering, or related technical field
Skills:LeadershipCommunication
Tech Stack:PythonPyTorchTensorFlow

Company Brief

Quora
Quora is a question-and-answer platform that connects people and AI to share knowledge across millions of topics, and operates Poe, an AI chatbot platform enabling creators to build and monetize chatbots.
Industry: Digital Media
Company Size: Large (251 to 1,000 employees)
Revenue: USD 10M to 25M
Growth: Scaleup
Valuation: USD 250M to 500M
Headquarters: Mountain View, United States
Founded: 2009
Glassdoor
Glassdoor: 4.3
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