[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 that lets people ask questions, get instant answers, and have back-and-forth dialogue with various AI language models (bots). 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:
Our small Natural Language Processing team works on providing key NLP competence to improve Quora users’ experience. We build end-to-end industry-scale NLP systems for moderation (e.g. spam detection) and content-based recommendation (e.g. topic tagging and modeling content relevance). The team directly supports moderation and growth-related initiatives at Quora. As a remote-first company, our engineers have a high degree of flexibility and autonomy.
We are looking for an experienced Staff Machine Learning Engineer to join our growing NLP engineering team. You will have a unique opportunity to have high impact by advancing our NLP systems, as well as uncovering new opportunities to apply large language models 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.
Responsibilities:
Improve our existing machine learning systems using your core coding skills and ML knowledge
Identify new opportunities to apply large language models to different parts of the Quora product
Perform experiments and comparative analysis to evaluate the effectiveness of different model architectures and fine-tune hyperparameters for optimal performance
Take end-to-end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems
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
Collaborate with the manager to lead the effort to transform our NLP systems to a new era of large language models
Minimum Requirements:
Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
6+ years of professional software development experience in machine learning, ideally in an NLP team and/or as tech lead
BS, MS or PhD in Computer Science, Mathematics, or a related field with a focus on machine learning and NLP
Previous experience building end-to-end machine learning systems
Strong innovator who understands the nuances of large language models and hands-on experience working with large language models like GPT, LLAMA, BERT, or Transformer-based architectures
Proficient knowledge of NLP techniques, including tokenization, language modeling, and embeddings
Experience with distributed training and optimization techniques for large-scale machine learning models
Preferred Requirements:
Excellent communication skills and the ability to collaborate effectively in a cross-functional team.
2+ years of experience writing Python or C++ code
Experience with leading large-scale multi-engineer projects
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:
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 Colorado based applicants, the minimum salary range is $174,400 - $216,000 USD + equity + benefits. For California, New Jersey, New York, and Washington based applicants, the minimum salary range is $174,400 - $255,000 USD + equity + benefits.
British Columbia candidates only: For British Columbia applicants, the minimum salary range is $173,800 - $252,000 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-RJ1
#LI-REMOTE