Machine Learning Engineer New Grad - Ads; Remote

Overview

Quora is a privately held, "remote-first" company. This position can be performed remotely from multiple countries around the world. Please visit  for details regarding employment eligibility by country.

About Quora:

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

Quora: a global knowledge sharing platform with over 300M 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 platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-5.2, Claude Opus 4.5, Grok 4.1, Veo 3.1, Nano Banana Pro (Gemini 3 Pro Image), and more. Poe provides a single platform to instantly integrate and utilize these new models.

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.

This role will be working on our Quora product.

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable.

Everyone on the engineering team has a huge impact on our product and our company.

As a member on the Ads ML team, you'll build deep learning and transformer based model architectures for ad candidate retrieval and ranking within our advertising platform. Your work will involve developing sophisticated bidding algorithms, and creating scalable ML systems that optimize ad selection. You'll also leverage large language models for brand safety detection and ad quality assessment, ensuring advertisers maintain brand integrity while users experience ads that meet the same quality standards as our core content.

• Improve our existing Ads Recommendation systems using your expertise
• Identify new opportunities to apply Machine Learning to different parts of the Quora Ads Product
• Work with other engineers to implement algorithms and systems in an efficient way
• Take end-to-end ownership of Machine Learning systems -- from data pipelines and training, to realtime prediction engine

• Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
• A 2025 or Summer 2026 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
• Strong understanding of mathematical foundations of Machine Learning algorithms
• Knowledge of Python or C++, or the ability to learn them quickly
• A passion for learning and always improving yourself and the team around you

• Previous software engineering experience via an internship, work experience or coding competition
• 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…