Quora Logo

Quora

Machine Learning Engineer New Grad 2024-2025 (Remote)

Sorry, this job was removed at 10:18 p.m. (PST) on Thursday, Aug 14, 2025
In-Office or Remote
Hiring Remotely in United States
In-Office or Remote
Hiring Remotely in United States

Similar Jobs

57 Minutes Ago
In-Office or Remote
7 Locations
130K-234K Annually
Senior level
130K-234K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead global M&A, investments, and post-closing tax integration/compliance. Partner with internal and external stakeholders on structuring, perform tax modeling (e.g., Sections 382/383), research complex tax issues, manage income tax audits, and support Treasury, state planning, and special tax projects.
57 Minutes Ago
In-Office or Remote
7 Locations
123K-223K Annually
Senior level
123K-223K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead and own a portfolio of issuer and processor partner relationships end-to-end. Drive partner onboarding, technical integration, BIN setup, approvals, pilot and GA readiness. Coordinate cross-functional stakeholders, define milestones, mitigate risks, build governance/SLAs/incident protocols, and advise leadership on partner strategy and regulatory changes. Engage executive partners and use AI tooling to streamline reporting and diligence.
Top Skills: AIBinLlmMastercardVisa
57 Minutes Ago
In-Office or Remote
7 Locations
130K-234K Annually
Senior level
130K-234K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Outbound senior account executive focused on restaurant SMBs. Build pipeline via cold outreach, prospecting, discovery, demos, and field visits. Close new-logo deals selling the Square ecosystem, partner with Business Development, Product and Marketing, use Salesforce to track activity, and exceed monthly sales targets and KPIs.
Top Skills: SalesforceSquare

[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 and share the world’s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M 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, Claude 4.1, Grok 4, Veo 3 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 Poe 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. 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.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise

  • Identify new opportunities to apply Machine Learning to different parts of the Poe product

  • Work with other engineers to implement algorithms and systems in an efficient way

  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale

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

  • A 2024 or 2025 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

  • Experience of transformer models and LLM applications

  • Strong 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

  • Previous industry experience working on natural language processing, language modeling, etc.

  • 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.

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. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

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 $107,660 - $161,700 USD + equity + benefits.

  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 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.

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

#LI-SS2
#LI-REMOTE

HQ

Quora Mountain View, California, USA Office

650 Castro Street, Suite 450, Mountain View, CA, United States, 94041

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account