12 часов назад
AI Science Intern (AI)
43 - 87$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Science Intern (AI/ML): Building and evaluating machine learning and deep learning models from large real-world datasets with an accent on feature engineering, statistical experimentation, generative AI, and LLM research. Focus on developing AI-driven proofs of concept, analyzing model performance, and translating research insights into customer-facing product impact.
Location: Hybrid work at an office in Mountain View, California; Atlanta, Georgia; New York, New York; or San Diego, California. Relocation stipend provided.
Salary: $42.69–$86.68 per hour, with potential eligibility for a cash bonus, equity rewards, and benefits.
Company
is a financial technology platform supporting products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Gather, clean, explore, and transform large real-world datasets for machine learning, including data wrangling and ETL.
- Build, train, and evaluate machine learning and deep learning models for classification, regression, clustering, optimization, and neural network applications.
- Engineer features, design experiments such as A/B tests, perform statistical analysis, and assess model performance.
- Research generative AI and large language models and develop proofs of concept for AI-driven features.
- Collaborate with AI Scientists, Machine Learning Engineers, Data Analysts, Software Engineers, and Product Managers to turn insights into product impact.
- Document research, model architectures, code, and experimental results for technical and non-technical audiences.
Requirements
- Currently enrolled in a PhD program in Computer Science or a related technical field, or in a Bachelor's or Master's program with relevant experience and graduation after the internship ends.
- Must be legally authorized to work in the United States on a full-time basis for the duration of the internship.
- Ability to work in a hybrid environment at an office location.
- Familiarity with core machine learning techniques and their mathematical foundations.
- Strong programming skills in Python and proficiency in SQL.
- Ability to prepare data from multiple sources for machine learning, with strong communication skills and curiosity about generative AI and LLMs.
Culture & Benefits
- 12-week summer internship with fixed start and end dates, offered in two cohorts.
- Dedicated managers and mentors, function-specific learning opportunities, and exposure to senior leadership.
- Collaboration with a global intern and co-op community through dedicated programming and social events.
- Opportunity to work on meaningful projects with business impact across 's product ecosystem.
- Relocation stipend and compensation potentially including bonus, equity rewards, and benefits.
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