Yobu
Ukufuma ku fyakulya fya bambi
Machine Learning Engineer Intern, Poe
Umutengo pa kwipusha
Ifya kufumamo
- Umusango wa ncito
- Ukusambilila incito
- Ukutali
- Ee
- Kampani
- Quora
Ubulondoloshi
[ Quora is a privately held, “remote-first” company . This position can be performed remotely from anywhere in Canada. 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-5, Claude Sonnet 4.5, Grok 4, Veo 3, Gemini 2.5 Flash Image (Nano Banana), 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.
This role will be working on our Poe product.
About the Team and Role:
A Quora internship is not an ordinary internship. There’s no busy work. Every project that our interns work on is important to the company and its goals.
As a team, we are dedicated to holding high standards, developing a strong and passionate culture, and emphasizing impact. We value building a culture with strong engineering values and goals because we believe that it is the key to building a great company and product. Interns play an important role in this, as they work alongside full-time employees as equals, working on the same projects that help drive the company and product forward. We expect interns to become valuable contributors to the team, as they work hand-in-hand with people ranging from engineering to design to business development.
We also realize that mentorship is important to allow interns to grow and develop skills in areas which they’re looking to improve. For example, every intern will have a full-time engineer as a mentor, and weekly 1:1s with their managers to get feedback and ensure things are going well. We also emphasize code reviews and hold weekly engineering tech talks to maintain high code quality and to optimize for learning the best engineering practices.
This internship will run for 16 weeks beginning in January.
Responsibilities:
• Participate in developing cutting-edge LLM applications including but not limited to information retrieval, search and discovery and agentic coding assistants, ensuring smooth and engaging user experiences.
• Participate in a wide variety of Applied AI activities, including refining and optimizing prompting, incorporating new LLM capabilities (such as function calling, tool use, etc) to improve the outcome of LLM.
Minimum Requirements:
• Availability for meetings and impromptu communication during Quora’s “ coordination hours ” (Mon-Fri: 9am-3pm Pacific Time)
• Currently pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field at a Canadian University
• Knowledge of Python or C++, or the ability to learn them quickly
• Knowledge of integrating and deploying LLMs
• A passion for learning and always improving yourself and the team around you
• Love of the Quora and/or the Poe product
Preferred Requirements:
• Prior software engineering internship experience
• Prior applied AI system experience
• Proficiency in modern backend frameworks (eg. FastAPI, Node.js, Django) and/or frontend libraries (e.g. React, Next.js)
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.
• The minimum base salary range for this role starts at $8,033 CAD monthly.
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.
Please note: AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.
#LI-REMOTE
Source: Jobspresso (https://jobspresso.co/job/machine-learning-engineer-intern-poe/)
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-5, Claude Sonnet 4.5, Grok 4, Veo 3, Gemini 2.5 Flash Image (Nano Banana), 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.
This role will be working on our Poe product.
About the Team and Role:
A Quora internship is not an ordinary internship. There’s no busy work. Every project that our interns work on is important to the company and its goals.
As a team, we are dedicated to holding high standards, developing a strong and passionate culture, and emphasizing impact. We value building a culture with strong engineering values and goals because we believe that it is the key to building a great company and product. Interns play an important role in this, as they work alongside full-time employees as equals, working on the same projects that help drive the company and product forward. We expect interns to become valuable contributors to the team, as they work hand-in-hand with people ranging from engineering to design to business development.
We also realize that mentorship is important to allow interns to grow and develop skills in areas which they’re looking to improve. For example, every intern will have a full-time engineer as a mentor, and weekly 1:1s with their managers to get feedback and ensure things are going well. We also emphasize code reviews and hold weekly engineering tech talks to maintain high code quality and to optimize for learning the best engineering practices.
This internship will run for 16 weeks beginning in January.
Responsibilities:
• Participate in developing cutting-edge LLM applications including but not limited to information retrieval, search and discovery and agentic coding assistants, ensuring smooth and engaging user experiences.
• Participate in a wide variety of Applied AI activities, including refining and optimizing prompting, incorporating new LLM capabilities (such as function calling, tool use, etc) to improve the outcome of LLM.
Minimum Requirements:
• Availability for meetings and impromptu communication during Quora’s “ coordination hours ” (Mon-Fri: 9am-3pm Pacific Time)
• Currently pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field at a Canadian University
• Knowledge of Python or C++, or the ability to learn them quickly
• Knowledge of integrating and deploying LLMs
• A passion for learning and always improving yourself and the team around you
• Love of the Quora and/or the Poe product
Preferred Requirements:
• Prior software engineering internship experience
• Prior applied AI system experience
• Proficiency in modern backend frameworks (eg. FastAPI, Node.js, Django) and/or frontend libraries (e.g. React, Next.js)
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.
• The minimum base salary range for this role starts at $8,033 CAD monthly.
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.
Please note: AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.
#LI-REMOTE
Source: Jobspresso (https://jobspresso.co/job/machine-learning-engineer-intern-poe/)
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Intuntuko: Quora
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