Quora Logo

Quora

Senior Machine Learning Engineer - Poe (Remote)

Job Posted 5 Days Ago Reposted 5 Days Ago
In-Office or Remote
5 Locations
195K-311K Annually
Senior level
In-Office or Remote
5 Locations
195K-311K Annually
Senior level
As a Senior Machine Learning Engineer, you will develop and maintain advanced NLP applications for Poe, oversee machine learning systems, and collaborate on innovative AI-driven features.
The summary above was generated by AI

[Quora is a "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-4, Claude 3, Gemini Pro, DALL-E 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.

About the Team and Role:

We are seeking a talented Senior ML Engineer to join us in building Poe, an exciting new platform at the forefront of AI. You will work at the cutting edge of technology to develop Poe’s bot ecosystem with state of art machine learning algorithms. This includes architecting a scalable recommender system architecture, building performant and reliable NLP applications and collaborating with our product team to build various personalized AI-driven user features.

Poe has experienced awesome growth so far, and as a Senior MLE for Poe, you can build the future of bot ecosystem while gaining invaluable experience with complex problems. Your contributions will have a direct influence on the Poe’s roadmap. If you have a passion for search and retrieval, emerging LLM modeling techniques and recommender system at scale, this role offers an invaluable opportunity to spearhead progress.

Responsibilities:

  • Be responsible for developing, designing, and maintaining cutting-edge applied LLM projects including but not limited to search result retrieval, recommender systems, and multi-bot agents, ensuring smooth and engaging user experiences.

  • Participate in a wide variety of NLP activities, including refining and optimizing prompting, retrieval-augmented generation, etc, to improve the outcome of LLM.

  • Continuously research and stay up-to-date with the latest developments in NLP and large language models, utilizing innovative techniques and methodologies to enhance our models.

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

Minimum Requirements:

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

  • Demonstrated professional experience in software development and machine learning

  • Proven track record of tech leading NLP/Search models to solve industry-scale problems

  • 4+ years of experience writing Python or C++ code

  • Previous experience tech leading complicated end to end machine learning systems

  • Experience of transformer models and LLM applications

  • Experience with leading large-scale multi-engineer projects

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

Preferred Requirements:

  • Flexible and positive team player with outstanding interpersonal skills

  • 5+ years of professional experience working on natural language processing, language modeling, etc.

  • Passion for Poe'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 $195,394 - $300,490 USD + equity + benefits.

  • Canada candidates only: For Canada based applicants, the salary range is $236,283 - $311,462 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

Top Skills

C++
Llm
Machine Learning
Nlp
Python

Similar Jobs

17 Hours Ago
In-Office or Remote
Toronto, ON, CAN
55K-75K Annually
Entry level
55K-75K Annually
Entry level
AdTech • Digital Media • eCommerce • Marketing Tech
Responsible for executing email marketing campaigns, optimizing performance metrics, coding templates, and ensuring compliance with best practices.
Top Skills: CSSHTML
21 Hours Ago
In-Office or Remote
Toronto, ON, CAN
168K-251K Annually
Senior level
168K-251K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Senior Deep Learning Scientist will develop advanced deep learning signals for risk management, conducting experiments and applying ML breakthroughs to enhance financial products.
Top Skills: AWSGCPKerasMySQLNumpyPandasPythonPyTorchSklearnSnowflakeSparkTensorFlowXgboost
21 Hours Ago
In-Office or Remote
7 Locations
168K-297K Annually
Senior level
168K-297K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
As Product Lead for Controls, you will develop customer trust through effective management of Cash App's restrictions, leading a full stack team to optimize user experiences and drive strategic initiatives.
Top Skills: Financial ProductsPlatform InfrastructureProduct Management Tools

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account