Senior Machine Learning Engineer, Ads

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $189.5k - $274.6k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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Quora

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2009

📱 Media

📚 Education

🤖 Artificial Intelligence

💰 $85M Series D on 2017-04

Media • Education • Artificial Intelligence

Quora is a global knowledge sharing platform that enables over 400 million monthly unique users to connect and share insights on a wide range of topics. Its mission is to democratize access to human knowledge trapped in people's experiences or buried in books and papers. By providing a platform for learning, sharing, and community engagement, Quora aims to enhance the collective knowledge of the world. The company also offers Poe, a feature that allows users to ask questions and engage in back-and-forth conversations with artificial intelligence.

📋 Description

• Develop and improve ads ranking models, including prediction objectives, feature interactions, user-history modeling, and calibration • Own machine learning systems end-to-end, including data pipelines, feature engineering, training-data construction, model evaluation, model training, and production integration • Evaluate and apply advances in deep learning and recommendation modeling within production latency, reliability, and cost constraints • Collaborate with ML platform and product engineers to build scalable and efficient production machine learning systems • Partner with product, data science, and engineering teams to define ranking objectives, design A/B experiments, and measure advertiser performance, revenue, and user relevance • Identify opportunities to apply machine learning across the Ads product • Improve CTR and CVR prediction, model calibration, user and ad representations, and user-sequence modeling • Translate ranking-quality improvements into advertiser value, revenue, and better user experiences

🎯 Requirements

• Availability for meetings and impromptu communication during Quora's coordination hours (Mon-Fri: 9am-3pm Pacific Time) • 4+ years of professional software development experience in machine learning • Hands-on experience developing and deploying ads ranking models at scale, including CTR or CVR prediction and calibration • Demonstrated ownership of production improvements • Experience evaluating ranking models through offline analysis and online experiments • Experience investigating discrepancies between model metrics and business outcomes • Experience using AI-assisted development tools for coding, testing, debugging, or data analysis • Sound judgment in validating generated code and conclusions • Hands-on experience building and deploying deep learning models with PyTorch or TensorFlow • Good understanding of mathematical foundations of machine learning algorithms • Strong Python programming skills • Experience writing maintainable production ML code • BS, MS or PhD in Computer Science, Engineering or a related technical field • Preferred: experience with modern ranking architectures, feature interaction networks, attention-based user-sequence models, and multi-task learning • Preferred: understanding of ranking predictions and calibration with bidding and auctions • Preferred: experience with large-scale multi-engineer projects • Preferred: experience addressing sparse or delayed conversion labels, sampling and exposure bias, cold-start users, and training-serving inconsistencies • Preferred: experience with generative recommender systems

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • Equity refreshers • Remote work reimbursement • Paid time off • Employee assistance programs • Equity • Benefits vary by country