Quora
More roles at QuoraSenior Machine Learning Engineer, Ranking - Quora (Remote)
Remote role where the employee must remain based in a particular country.
United States only
From the listing details: Source listing states candidate location: "Remote - Multiple Locations, United States, Ireland, Canada, & 13 other countries, Remote"
Employer listed it 3 weeks ago · Added 3 weeks ago
Been open since 3 weeks ago, still being checked, but it has been live a while.
Salary
$189,507 to $274,604
Location
United States only
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
Stated by the employer in the job description
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
US candidates only: For US based applicants, the salary range is $189,507 - $274,604 USD + equity + benefits.
- Contract
- Not mentioned in the advert
- Experience asked for
3+ years of professional experience working on recommendation or ranking models
- Pay
There are many factors that will determine the starting compensation, including but not limited to experience, location, education, and business needs.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Remote - Multiple Locations, United States, Ireland, Canada, & 13 other countries, Remote"
- Job description states: "US based"
What Nomaders makes of it
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Questions worth asking: Nomaders interpretation
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
[ 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 millions of 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 cloud workspace where millions of users run multiple AI agents on shared context and tools. One subscription, every frontier model, and the collaboration layer that makes them work together.
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 distribution team, working on recommendation systems such as feed, notifications, and Quora's famous digest emails. 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 own and advance the second-phase ranking model behind feed and digest, one of the highest-leverage surfaces at Quora, by applying the 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
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
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
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 or ranking 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
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 or ranking models
- ·Good understanding of mathematical foundations of machine learning algorithms
- ·Previous experience building end-to-end machine learning systems
- ·Good communication and interpersonal skills
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Quora, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 19d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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