Quora - Senior Machine Learning Engineer, Ads
Requirements
• Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time) • 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, with demonstrated ownership of production improvements • Experience evaluating ranking models through offline analysis and online experiments, including investigating discrepancies between model metrics and business outcomes • Experience using AI-assisted development tools for coding, testing, debugging, or data analysis, with 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 and experience writing maintainable production ML code. proficient coding ability writing Python • BS, MS or PhD in Computer Science, Engineering or a related technical field • Experience with modern ranking architectures, such as feature interaction networks, attention-based user-sequence models, and multi-task learning • Experience with leading large-scale multi-engineer projects • Experience addressing ranking challenges such as sparse or delayed conversion labels, sampling and exposure bias, cold-start users, or training-serving inconsistencies • Experience with generative recommender systems • Effective communicator with strong leadership skills • Passion for Quora's mission and goals • At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture. • Additional Information: • We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy. • Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. • There are many factors that will determine the starting compensation, including but not limited to experience, location, education, and business needs. • US candidates only: For US based applicants, the salary range is $189,507 - $274,604 USD + equity + benefits. • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $243,330 - $282,076 CAD + equity + benefits. For all other locations in Canada, the salary range is $227,108 - $263,271 CAD + equity + benefits. • In equity-eligible countries, we currently also offer a flexible equity program where a portion of equity compensation may be taken as cash.
Responsibilities
• Develop and improve ads ranking models, including prediction objectives, feature interactions, user-history modeling, and calibration • Take end to end ownership of machine learning systems - from data pipelines, feature engineering, training-data construction and model evaluation, model training, as well as integration into our production systems • Evaluate and apply advances in deep learning and recommendation modeling to improve ads ranking within production latency, reliability, and cost constraints • Collaborate with ML platform and product engineers to build scalable and efficient machine learning systems in the production environment
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