Ability to be available for meetings and impromptu communication during Quora’s “coordination hours” (Mon-Fri: 9am-3pm Pacific Time) 3+ years of strong software and machine learning development skills in a fast pace environment Good understanding of mathematical foundations of machine learning algorithms Previous experience building end to end machine learning systems BS, MS or PhD in Computer Science, Engineering or a related technical field Responsibilities You will work at the cutting edge of technology to develop the Poe’s bot eco system with state of art machine learning algorithms Improve our existing machine learning systems using your core coding skills and ML knowledge Identify new opportunities to apply machine learning to different parts of the Poe product Work with other machine learning engineers to implement algorithms and systems in an efficient way 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 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: US candidates only: For Colorado based applicants, the minimum base salary range is $94,400 – $128,350 USD + equity + benefits For California, New Jersey, New York, and Washington based applicants, the minimum salary range is $94,400 – $151,000 USD + equity + benefits British Columbia Candidates Only: For British Columbia based applicants, the minimum base salary range is $96,500 – $154,000 CAD + equity + benefits Qualifications Ability to be available for meetings and impromptu communication during Quora’s “coordination hours” (Mon-Fri: 9am-3pm Pacific Time) 3+ years of strong software and machine learning development skills in a fast pace environment Good understanding of mathematical foundations of machine learning algorithms Previous experience building end to end machine learning systems BS, MS or PhD in Computer Science, Engineering or a related technical field Responsibilities You will work at the cutting edge of technology to develop the Poe’s bot eco system with state of art machine learning algorithms Improve our existing machine learning systems using your core coding skills and ML knowledge Identify new opportunities to apply machine learning to different parts of the Poe product Work with other machine learning engineers to implement algorithms and systems in an efficient way 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 Benefits 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: US candidates only: For Colorado based applicants, the minimum base salary range is $94,400 – $128,350 USD + equity + benefits For California, New Jersey, New York, and Washington based applicants, the minimum salary range is $94,400 – $151,000 USD + equity + benefits British Columbia Candidates Only: For British Columbia based applicants, the minimum base salary range is $96,500 – $154,000 CAD + equity + benefits [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: We are seeking a talented 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 the Poe’s bot eco system with state of art machine learning algorithms. This includes building scalable and performant recommender system and various NLP/LLM applications, and collaborating with our product team to build various personalized AI-driven user features. Poe has experienced awesome growth so far, and as an 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 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:
- Improve our existing machine learning systems using your core coding skills and ML knowledge
- Identify new opportunities to apply machine learning to different parts of the Poe product
- Work with other machine learning engineers to implement algorithms and systems in an efficient way
- 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
Minimum Requirements:
- Ability to be available for meetings and impromptu communication during Quora’s “coordination hours” (Mon-Fri: 9am-3pm Pacific Time)
- 3+ years of strong software and machine learning development skills in a fast pace environment
- Good understanding of mathematical foundations of machine learning algorithms
- Previous experience building end to end machine learning systems
- BS, MS or PhD in Computer Science, Engineering or a related technical field
Preferred Requirements:
- Strong communication and interpersonal skills
- 2+ years of experience writing Python or C++ code
- Experience with leading large-scale multi-engineer projects
- Flexible and positive team player with outstanding interpersonal skills.
- 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: 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: 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 base salary range is $94,400 – $128,350 USD + equity + benefits. For California, New Jersey, New York, and Washington based applicants, the minimum salary range is $94,400 – $151,000 USD + equity + benefits.
- British Columbia Candidates Only: For British Columbia based applicants, the minimum base salary range is $96,500 – $154,000 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: #LI-RJ1 #LI-REMOTE Company information 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 that only experts can access. Our mission is to share and grow the world’s knowledge, and we’re building a world-class team to help us achieve this mission.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.Visit quora.com/careers to browse open roles and apply online.Quora company blog: blog.quora.comEngineering blog: engineering.quora.comDesign blog: design.quora.comData blog: data.quora.comRecruiting blog: interviewingatquora.quora.com/Intern blog: quorainterns.quora.com Advertising, Digital Marketing, Information Services, Software, Information Technology, Social Media, Technology, Computer Software, Internet, Information Technology and Services Company Specialties: Machine Learning, Product Design, Internationalization, Data Science, Personalization, Mobile, and Growth Marketing #J-18808-Ljbffr
Natural language processing (NLP) feature-engineering Artificial intelligence (AI) Establishing interpersonal relationships Python Computer Science ML model training End-to-end testing integration poe C++ remote work Communication data-pipelines Machine Learning Engineering algorithms Software Developer large-scale-systems LLM