AI Scientist Intern
Intuit
AI Scientist Intern
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
At Intuit, we believe in the power of early talent. Our internship and co-op program provides hands-on experience, mentorship, and opportunities to contribute to real-world projects that impact millions. We get up every morning with our hearts beating fast, driven by the knowledge that we're transforming the world of consumer and small business finance. It’s why our products continue to resonate with 50 million consumers around the globe.
Ready to dive deep into the world of AI and make a real impact? As an AI Scientist Intern at Intuit, you won't just be observing; you'll be on the front lines. You'll work side-by-side with our world-class AI Scientists and Machine Learning Engineers, collaborating with Data Analysts, Software Engineers, and product managers. This is your chance to uncover critical insights and develop powerful machine learning models that directly understand and enhance customer experiences across Intuit's beloved products..
Some projects previous AI Science interns have worked on:
Improving customer experiences by applying adversarial deep learning to ranking algorithms and assessing call quality using transcript data.
Innovating with NLP and Deep Learning to link form lines to documentation, build temporal recommendation models, and develop unsupervised knowledge acquisition for Q&A systems.
Forecasting and Prediction through transaction time series forecasting, real-time churn prediction, and predicting cognitive biases with financial data.
Enhancing Model Training by exploring active learning for event labels and creating customer intent classifiers for digital assistants.
Responsibilities
Gather, clean, and perform exploratory analysis on large datasets to uncover patterns and prepare them for modeling.
Build, train, and evaluate various machine learning and deep learning models.
Dive into cutting-edge AI research and methodologies to inform new solutions and stay ahead of the curve.
Analyze model results and data to extract meaningful insights and provide actionable recommendations.
Develop proofs-of-concept for innovative, AI-driven features or solutions.
Work closely with diverse teams, clearly communicating your findings and progress to both technical and non-technical stakeholders.
Create clear documentation for your research, model architectures, code, and experimental results.
Qualifications
Familiar with machine learning techniques (regression, classification, clustering, optimization, etc) and understand their mathematical foundations
Ability to explore, discover and import data from multiple sources and make them machine learning ready
Design and test hypotheses about causes and cures
Strong programming skills (Python and Scala preferred)
Excellent communication skills and ability to learn fast
Currently enrolled in a PhD program in Computer Science or a related technical field. Alternatively, a Bachelors or Masters program with prior relevant experience.
A graduation date at least 4 months after the end of the internship
Must be legally authorized to work in the US on a full-time basis during the duration of the internship
Ability to work onsite for a minimum of 3 days per week
Nice to Haves:
Experience in developing machine learning solutions to solve real-world problems
Experience with Hadoop or Spark
Published works in top tier data science and machine learning conferences such as KDD, ICML, NIPS, ICLR, ACL, SIGIR, WWW, CVPR, SIGMOD, etc. is a plus
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. 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. The expected base pay range for this position is: