7 hours ago

Machine Learning Engineer New Grad - Ads, Quora

Quora

Hybrid
Full Time
$140,000
Hybrid

Job Overview

Job TitleMachine Learning Engineer New Grad - Ads, Quora
Job TypeFull Time
Offered Salary$140,000
LocationHybrid

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Job Description

About Quora

Quora's mission is to grow the world's collective intelligence. We operate two platforms: Quora, a global knowledge sharing platform with over 300M monthly unique visitors, and Poe, a platform providing millions of users with access to a wide variety of AI language models. Our teams are passionate, collaborative, and high-performing, fostering a culture of transparency, idea-sharing, and experimentation. This role specifically focuses on our Quora product.

About The Ads ML Team And Role

As a Machine Learning Engineer New Grad - Ads, Quora, you will join a small, high-impact engineering team rooted in continuous learning and improvement. We encourage big thinking and experimentation, with continuous deployment allowing for rapid iterations. Engineers focus on polished products and high-quality code, designing extensible and maintainable APIs and abstractions. Everyone on the engineering team significantly impacts our product and company.

Specifically, on the Ads ML team, you'll build deep learning and transformer-based model architectures for ad candidate retrieval and ranking. Your work includes developing sophisticated bidding algorithms and scalable ML systems for ad selection optimization. You will also leverage large language models for brand safety detection and ad quality assessment, ensuring integrity for advertisers and quality experiences for users.

Responsibilities

  • Improve 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 efficiently.
  • Take end-to-end ownership of Machine Learning systems, from data pipelines and training to real-time prediction engines.

Minimum Requirements

  • 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.

Preferred Requirements

  • Previous software engineering experience via an internship, work experience, or coding competition.
  • Passion for Quora's mission and goals.

Additional Information

Quora is a privately held, "remote-first" company, offering this position remotely from multiple eligible countries. We value diversity and inclusivity, welcoming applicants from all backgrounds. We offer a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, and paid time off. Salary ranges for US candidates are $107,360 - $152,900 USD + equity + benefits. Canadian ranges vary by location.

Key skills/competency

  • Machine Learning
  • Deep Learning
  • Transformer Models
  • Ad Recommendation Systems
  • Bidding Algorithms
  • Scalable ML Systems
  • Large Language Models (LLMs)
  • Brand Safety
  • Python
  • C++

Tags:

Machine Learning Engineer
Ad Recommendations
Deep Learning
Transformer Models
Bidding Algorithms
Scalable ML Systems
Brand Safety
Ad Quality
Data Pipelines
Real-time Prediction
Algorithm Implementation
Python
C++
Deep Learning Frameworks
Transformer Architectures
Large Language Models
Distributed Systems
Machine Learning Systems
API Design
Data Engineering
ML Algorithms

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How to Get Hired at Quora

  • Research Quora's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for ML: Highlight your deep learning, transformer, and algorithm experience relevant to ads and recommendations.
  • Showcase project ownership: Detail projects where you've taken ML systems from data pipelines to real-time prediction.
  • Prepare for technical challenges: Expect questions on ML algorithms, Python/C++, and scalable system design specific to ad tech.
  • Demonstrate passion for Quora: Connect your interest to Quora's mission of growing collective intelligence.

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