AI Scientist Intern

Job Description

About Intuit (The Company)

Intuit is a company dedicated to transforming the world of consumer and small business finance. With products that resonate with 50 million consumers globally, they are driven by a mission to make a significant impact. They strongly believe in the power of early talent and offer internship and co-op programs designed to provide hands-on experience, mentorship, and opportunities to contribute to real-world projects. These projects directly affect millions of users and involve cutting-edge advancements, particularly in the field of AI.

About the Job: AI Scientist Intern

This internship offers a unique opportunity for aspiring AI scientists to delve deep into the world of artificial intelligence and make a tangible impact on Intuit’s products and customer experiences. As an AI Scientist Intern, you will be on the front lines, actively contributing to projects rather than merely observing.

Overview of the Internship:
You will work alongside world-class AI Scientists and Machine Learning Engineers, collaborating with diverse teams including Data Analysts, Software Engineers, and Product Managers. The core focus of the role is to uncover critical insights and develop powerful machine learning models that directly understand and enhance customer experiences across Intuit’s well-known products.

Some Projects Previous AI Science Interns Have Worked On:

• Improving customer experiences: This included applying adversarial deep learning to ranking algorithms and assessing call quality through transcript data analysis.
• Innovating with NLP and Deep Learning: Projects involved linking form lines to documentation, building temporal recommendation models, and developing unsupervised knowledge acquisition for Q&A systems.
• Forecasting and Prediction: Interns contributed to transaction time series forecasting, real-time churn prediction, and predicting cognitive biases using financial data.
• Enhancing Model Training: This involved exploring active learning for event labels and creating customer intent classifiers for digital assistants.

Key Responsibilities:

• Data Management: Gather, clean, and perform exploratory analysis on large datasets to identify patterns and prepare data for modeling.
• Model Development: Build, train, and evaluate various machine learning and deep learning models.
• Research and Innovation: Dive into cutting-edge AI research and methodologies to inform new solutions and stay current with advancements.
• Insight Generation: Analyze model results and data to extract meaningful insights and provide actionable recommendations.
• Proof-of-Concept Development: Develop proofs-of-concept for innovative, AI-driven features or solutions.
• Collaboration and Communication: Work closely with diverse teams, clearly communicating your findings and progress to both technical and non-technical stakeholders.
• Documentation: Create clear documentation for your research, model architectures, code, and experimental results.

Qualifications:

• Technical Foundation: Familiarity with machine learning techniques (regression, classification, clustering, optimization, etc.) and a strong understanding of their mathematical foundations.
• Data Proficiency: Ability to explore, discover, import data from multiple sources, and prepare them for machine learning.
• Problem Solving: Capability to design and test hypotheses about causes and solutions.
• Programming Skills: Strong programming skills, with proficiency in Python and Scala preferred.
• Soft Skills: Excellent communication skills and a demonstrated ability to learn fast.
• Educational Background: Currently enrolled in a PhD program in Computer Science or a related technical field. Alternatively, enrollment in a Bachelors or Masters program with prior relevant experience.
• Availability: A graduation date at least 4 months after the end of the internship.
• Legal Authorization: Must be legally authorized to work in the US on a full-time basis during the duration of the internship.
• Onsite Work: Ability to work onsite for a minimum of 3 days per week.

Nice To Haves:

• Real-World ML Experience: Experience in developing machine learning solutions to solve real-world problems.
• Big Data Experience: Experience with Hadoop or Spark.
• Publications: Published works in top-tier data science and machine learning conferences such as KDD, ICML, NIPS, ICLR, ACL, SIGIR, WWW, CVPR, SIGMOD, etc.

Compensation and Benefits:
Intuit offers a competitive compensation package based on a strong pay-for-performance rewards approach. This position will be eligible for a cash bonus, equity rewards, and benefits, in accordance with Intuit’s applicable plans and programs. Pay offered is determined by factors such as job-related knowledge, skills, experience, and work location. Intuit conducts regular comparisons across categories of ethnicity and gender to ensure fair pay for its employees. The expected base pay range for this position in the Bay Area, California, is currently listed as TBA.