Machine Learning Engineer, Quora

New Grad 2024-2025

$107.7-161.7k

+ Equity. For applicants based in Canada, the salary is $134,158 - $172,713 CAD

Python

C++

Entry level

Remote from Canada, US

More information about location

A place to share knowledge

Open for applications

A place to share knowledge

1001+ employees

B2CEducationInternet of ThingsLearningSocialMachine LearningProduct ManagementData Integration

Open for applications

$107.7-161.7k

+ Equity. For applicants based in Canada, the salary is $134,158 - $172,713 CAD

Python

C++

Entry level

Remote from Canada, US

More information about location

1001+ employees

B2CEducationInternet of ThingsLearningSocialMachine LearningProduct ManagementData Integration

Company mission

To share and grow the world's knowledge.

Job

Company

Role

Who you are

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

What the job involves

This role will be working on our Poe 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
At Quora, we use Machine Learning in various parts of the product - feed ranking, spam detection, ads CTR prediction, etc
Our team of Machine Learning Engineers and have high impact by advancing the current Machine Learning systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product
You will also play a key role in developing tools and abstractions that our other developers would build on top of
Improve our existing Machine Learning systems using your expertise
Identify new opportunities to apply Machine Learning to different parts of the Quora 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

Application process

We are accepting applications on an ongoing basis

Our take

The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people's heads, or buried in books and papers. Quora is changing this.

For a decade now, Quora has been carefully cultivating an intelligent question-and-answer community; it’s quietly becoming a database of some of the most thoughtful and useful content on the web.

With its steadily increasing number of monthly users and a revenue stream funded by advertising and subscriptions, Quora is now worth over a billion dollars. It is further building on this success with the introduction of AI functionality, which allows subscribers to ask questions to bots powered by OpenAI and Anthropic models.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

7% employee growth in 12 months

Glassdoor (4.5)

Company

Funding (last 2 of 6 rounds)

Jan 2024

$75m

LATE VC

May 2019

$60m

SERIES E

Total funding: $361m

Company HQ

Old Mountain View, Mountain View, CA

Leadership

Adam D'Angelo

(Founder & CEO)

Previously studied Computer Science at Caltech before working for Facebook, becoming CTO in 2006 until he co-founded Quora in 2009.

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