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Research Intern in Advanced Technologies

2 months ago


Mason, Ohio, United States Procter & Gamble Full time
Job Location

Mason

Position Overview

Join our innovative Smart Products team as an intern, where you will engage in cutting-edge research and development.


Are you driven by the desire to tackle complex challenges? At Procter & Gamble, you will have the opportunity to apply your scientific and engineering expertise to devise inventive solutions for everyday consumer needs. If this resonates with you, we invite you to consider this internship opportunity.


With a comprehensive perspective on emerging technologies and a profound understanding of consumer challenges, we leverage various technologies including devices, connectivity, machine learning, embedded systems, cloud computing, and robotics.

Our goal is to identify, synthesize, and prototype viable solutions within a dynamic, hands-on, and agile team environment.

Your Responsibilities Will Include:


Conducting a thorough review of existing literature and methodologies in self-supervised and semi-supervised learning to formulate a strategy for utilizing large unlabeled datasets to enhance time-series data modeling.

Developing a functional pipeline to showcase improved performance in time-series data modeling (e.g., classification) using available unlabeled datasets. Sharing critical insights from this process with the broader team to foster a collective understanding of self-supervised and semi-supervised learning strategies.

Qualifications

Requirements:

Currently pursuing a PhD in Computer Science, Electrical Engineering, Mathematics, Physics, or a related discipline, or equivalent experience. Proficiency in Python programming and practical experience with frameworks such as PyTorch is essential.

We seek candidates with a focus on deep learning for time series, particularly those with demonstrated interest or experience in unsupervised, semi-supervised, or self-supervised learning.

Experience in developing sensing technologies or systems utilizing deep learning or machine learning techniques is preferred. A proven record of significant achievements, evidenced by grants, fellowships, patents, or publications in leading workshops, journals, or conferences in Machine Learning (NeurIPS, ICML, ICLR) or Robotics (IROS, RSS, ICRA, CoRL) is highly valued.

Additional Information:


Compensation for positions at Procter & Gamble varies based on a range of non-discriminatory factors, including but not limited to specific office location, role, educational background, relevant skill set, and level of experience.

Compensation decisions are made based on the unique circumstances of each case. Total rewards at Procter & Gamble encompass salary, bonuses (if applicable), and benefits.

Your recruiter can provide more details about our total rewards offerings and the specific salary range for the relevant locations during the hiring process.

We are committed to ensuring equal opportunities in employment.

We value diversity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Immigration sponsorship is not available for this position. For more information regarding eligibility for hire at Procter & Gamble, please refer to our guidelines.

Qualified individuals will not be disadvantaged based on unemployment status.


We are dedicated to providing reasonable accommodations for individuals with disabilities to participate in the job application or interview process, perform essential job functions, and receive other employment benefits and privileges.

Please reach out to request accommodations.

Job Schedule

Full time

Job Number

R

Job Segmentation

Experienced Professionals

Starting Pay / Salary Range

$61.00 / hour