Machine Learning Engineer - Ads, Quora (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

Preferred Requirements:

• Experience with leading large-scale multi-engineer projects
• Experience in productized reinforcement learning
• Experience with privacy-preserving modeling techniques
• Flexible and positive team player with outstanding interpersonal skills
• Passion for Quora's mission and goals

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

Perks and Benefits:

• Wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more (benefits vary by country)
• Competitive salary ranges with equity and benefits for US and Canada based applicants
• Equal opportunity employer promoting diversity and inclusivity