Quora Logo

Quora

Senior Machine Learning Engineer, Ranking - Quora (Remote)

Reposted 14 Days Ago
In-Office or Remote
Hiring Remotely in United States
190K-275K Annually
Senior level
In-Office or Remote
Hiring Remotely in United States
190K-275K Annually
Senior level
The role involves improving machine learning ranking models, implementing algorithms, and taking full ownership of machine learning systems within Quora's product.
The summary above was generated by AI

[Quora is a privately held, "remote-first" company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries 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: 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-5.4, Claude-Opus-4.6, Gemini-3.1-Pro, Nano-Banana-Pro, Veo-3.1, and more. As AI capabilities rapidly advance, 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.

About the Team and Role:

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. As a remote-first company, our engineers have a high degree of flexibility and autonomy. Everyone on the engineering team has a significant impact on our product and our company. We are looking for an experienced Machine Learning engineer to join our growing distribution team, working on recommendation systems such as feed, notifications, and Quora’s famous digest emails and A2A. At Quora, we use machine learning in almost every part of the product and recommendation systems play an important role in connecting users with content.

As a ranking modeling expert, you will have a unique opportunity to have high impact by advancing our ranking model and by applying latest machine learning techniques. You will also play a key role in developing methodologies that our other developers will build on top of.

Responsibilities:
  • Improve our existing machine learning ranking models using your core coding skills and ML knowledge

  • Identify new opportunities to apply machine learning to different parts of the Quora product

  • Work with other machine learning engineers to implement algorithms and systems efficiently

  • Take end-to-end ownership of machine learning systems - data pipelines, candidate extraction, feature engineering, model training, as well as integration into our production systems

Minimum Requirements:
  • Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)

  • 3+ years of professional experience working on recommendation models

  • Good understanding of mathematical foundations of machine learning algorithms

  • Previous experience building end-to-end machine learning systems.

  • Good communication and interpersonal skills

  • BS, MS, or PhD in Computer Science, Engineering, or a related technical field

Preferred Requirements:
  • 5+ years of experience writing Python or C++ code

  • Experience with leading large-scale multi-engineer projects

  • Flexible and positive team player with outstanding interpersonal 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 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 - $274,603 USD + equity + benefits.

  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $248,526 - $288,100 CAD + equity + benefits. For all other locations in Canada, the salary range is $231,958 - $268,893 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

#LI-RJ1
#LI-REMOTE

Similar Jobs

An Hour Ago
Remote or Hybrid
103K-250K Annually
Senior level
103K-250K Annually
Senior level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The Sourcing Manager leads sourcing strategies for corporate services, ensuring compliance and driving value through strategic supplier management and commercial excellence in professional services.
Top Skills: AnalyticsDigital SolutionsProcurementStrategic Sourcing
An Hour Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
The Account Executive will manage 220 accounts, drive new revenue, leverage channel partners, and work with various teams to achieve client objectives.
Top Skills: Salesforce
3 Hours Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
The Account Executive will drive sales growth in the public sector, managing existing accounts, expanding partnerships, and acquiring new customers while collaborating with sales teams to execute strategies.
Top Skills: AiopsCloud OperationsEnterprise SoftwareObservability

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account