Skip to main content

AI Research Intern

Category Data Location Mountain View, California Job ID 2024-67925
Apply Now

Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit AI Research is hiring AI research interns to join our team of researchers to work on foundational AI problems that directly influence Intuit’s portfolio of fintech offerings to millions of consumers and small businesses. As a research intern at Intuit, you are expected to work on cutting edge AI technologies, leading to innovative solutions that push the state of the art in AI while improving our customer experience. Current areas of exploration include robust and trustworthy LLMs, neuro-symbolic methods for generative AI, knowledge representation and learning, and language agents for enterprise systems. 

 As an AI Research intern at Intuit, you will join a high-caliber team of research scientists, domain experts, data scientists, and machine learning engineers to research and apply the latest innovation in relevant topics to develop advanced capabilities that serve our customers’ needs, both current and future.  

This position is intended for students in a degree-seeking program, to which they will return at the end of the summer internship in 2025. The length of the internship is 12-14 weeks.

Responsibilities

As an AI Research intern at Intuit, you will join a high-caliber team of research scientists, domain experts, data scientists, and machine learning engineers to research and apply the latest innovation in relevant topics to develop advanced capabilities that serve our customers’ needs, both current and future.

Qualifications

  • Currently enrolled in a PhD degree program in Computer Science/Electrical Engineering/Statistics/Applied Mathematics/Computational Linguistics or a related field.

  • Experience in one area of AI (e.g., knowledge representation and learning, language agents, alignment, reinforcement  learning, multimodal generative AI) is required.

  • Established track record of publication, ideally demonstrated through first author publications in top tier AI conferences ( e.g. NeurIPS, ICML, ACL, AAAI, EMNLP, ACL, AISTATS, KDD)

  • Experience with developing and debugging in Python with Tensorflow, Pytorch, or similar frameworks
  • Experience in dissemination of scientific work in English through paper submissions, and conference presentations.
Apply Now

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is Bay Area California $65.38. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

We use the technology for good to help small businesses and consumers.

Ercan Kaynakca Staff Data Crypto Analyst

Related Content

Jobs For You

You haven't viewed any jobs yet. Start exploring now to find the perfect opportunity for you!

View all of our available opportunities

You haven't saved any jobs yet. Start exploring now to find the perfect opportunity for you!

View all of our available opportunities

Sign Up for Job Alerts

Be the first to find out about open jobs that fit what you're looking for.

Sign up for job alerts

Don't see what you're looking for? Sign up and we'll notify you when roles become available.

Interested InSelect a job category from the list of options. Select a location from the list of options. Finally, click “Add” to create your job alert.

By submitting your information, you acknowledge that you have read our privacy policy and consent to receive email communication from us.