Quora is hiring a
Machine Learning Engineer

Summary

The job is for a Machine Learning Engineer at Quora's Monetization team, focusing on optimizing the advertising product. The role involves improving machine learning systems, taking end-to-end ownership, applying advanced ML algorithms, collaborating with cross-functional teams, and identifying new opportunities to apply ML. The position is remote.

Requirements

• Ability to be available for meetings and impromptu communication during Quora's ‘coordination hours’ (Mon-Fri: 9am-3pm Pacific Time)
• 3+ years of professional software development experience in machine learning
• Previous experience working in Adtech, developing ad targeting/retrieval/recommender systems
• Previous experience building large scale ranking/recommendation systems
• Good understanding of mathematical foundations of machine learning algorithms
• Highly proficient coding ability writing Python, C++ or Golang code
• BS, MS or PhD in Computer Science, Engineering or a related technical field

Responsibilities

• Improve our existing machine learning systems using your core coding skills and ML knowledge
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems
• Apply state-of-the-art machine learning algorithms at scale and serving for next-generation targeting and bidding products that directly impact the company’s top line metrics
• Collaborate with ML platform and product engineers to build scalable and efficient machine learning systems in the production environment
• Work with product and business teams on new innovative features for ad targeting and bidding to optimize advertisement performance
• Identify new opportunities to apply machine learning to different parts of the Ads product to drive value for our users and advertisers

Preferred Qualifications

• Experience with leading large-scale multi-engineer projects
• Experience in productized reinforcement learning
• Experience with privacy-preserving modeling techniques

Benefits

• Medical/dental/vision coverage
• Equity refreshers
• Remote work reimbursement
• Paid time off
• Employee assistance programs