Staff Machine Learning Engineer - Poe (Remote)

[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 Staff 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 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 Staff 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 problem

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

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

• 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.

• Experience of transformer models and LLM applications

• 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

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