Senior Machine Learning Engineer, Ads - Quora

Quora's mission is to grow the world's collective intelligence. To do so, we have two platforms:

• Quora : a global knowledge sharing platform with millions of monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.

• Poe : a cloud workspace where millions of users run multiple AI agents on shared context and tools. One subscription, every frontier model, and the collaboration layer that makes them work together.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

• 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

• 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

• Identify new opportunities to apply machine learning to different parts of the Ads product to drive value for our users and advertisers

• 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

• Understanding of how ranking predictions and calibration interact with bidding and auctions to affect ad delivery and advertiser outcomes

• 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.

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 pay, 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.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.

To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding.

Job Applicant Privacy Notice: https://www.careers.quora.com/pages/quora-global-job-applicant-privacy-notice

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