Ph.D. Summer Intern – Machine Learning/Artificial Intelligence | Smart Products Team

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Job Description

Are you passionate about solving challenging problems? At Procter & Gamble, you have the opportunity to demonstrate your scientific and engineering skills to build innovative solutions for consumers' everyday needs. If this sounds exciting, we would love for you to join our Smart Products team as a Ph.D. summer intern!

In our team, we start with a broad vision of new technologies combined with a deep understanding of consumer challenges. We utilize a variety of technologies,  including machine learning and artificial intelligence, embedded systems, cloud computing, and robotics, to identify, synthesize, and prototype testable solutions in a fast-paced, hands-on, and agile environment.

Your Responsibilities:

·       Explore existing literature and techniques in self-supervised and semi-supervised learning to devise a strategy for using large unlabeled datasets to improve time-series data modeling.

·       Develop a functional pipeline that demonstrates improved performance in time-series data modeling (e.g., classification) using available unlabeled datasets.

·       Share key insights from your research and development process with the broader team to improve our collective understanding of self-supervised and semi-supervised learning strategies.

Job Qualifications

·       Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field, or equivalent experience.

·       Proficient in programming languages such as Python, with hands-on experience in libraries and frameworks such as PyTorch and Scikit-learn.

·       Familiarity with handling large datasets and using tools for data management (e.g., SQL, Pandas, Spark).

·       Strong background in deep learning for time series analysis, with a particular focus on unsupervised, semi-supervised, or self-supervised learning.

·       Experience in developing sensing technologies or systems leveraging deep learning or machine learning methods.

·       Proven track record of significant contributions, demonstrated through grants, fellowships, patents, or publications in leading workshops, journals, or conferences in machine learning (e.g., NeurIPS, ICML, ICLR).

Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits.  Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process.

We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Procter & Gamble participates in e-verify as required by law.

Qualified individuals will not be disadvantaged based on being unemployed.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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