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Job Location MASON BUS AND INNOVATION CTR Job Description Research and Development (R&D) at Procter & Gamble, the largest consumer packaged goods company in the world, includes a diverse group of roles that contribute to the innovation and development of our products. It encompasses roles in product research, formulation, testing, and scientific analysis. You will find variety and excitement starting Day 1. This internship is specifically designed for individuals working towards a PhD who are developing proficiency in their field. As an intern or co-op in management, you will have the opportunity to learn from experienced professionals in a supportive environment. This is a 12-week paid internship, designed to provide you with a solid foundation for future career growth. The internship will take place from May (potentially early June) to August of 2027. Join us at P&G, where your contributions will play a vital role in shaping the future of consumer products! The Opportunity: P&G has an opportunity for a PhD intern to work in our Corporate R&D to develop an AI-agent-driven framework that automates and accelerates machine learning experimentation for time-series data modeling. The intern will explore how AI agents can propose and execute experiments, modify configurations or code, analyze results, and recommend next steps. This work will investigate improvements in data preprocessing, model architecture, training strategies, and hyperparameter selection while comparing AI-driven research with conventional experimentation in terms of model performance, reproducibility, and research efficiency. The ideal candidate will demonstrate a strong eagerness to learn and grow professionally and possess excellent communication skills—both written and verbal. This role is perfect for those with passion for innovation and problem-solving, along with a proactive attitude and the ability to adapt to new challenges. Join us in this dynamic environment, where your contributions will make a real impact as part of a collaborative team! Key Responsibilities: Review existing literature and techniques in LLM-based AI agents, automated machine learning, and AI-enabled research systems. Prepare time-series datasets and establish a reliable, reproducible baseline model and evaluation pipeline. Design and implement an AI-agent-driven framework for proposing, executing, and analyzing machine learning experiments. Explore improvements in data preprocessing, feature representation, model architecture, training strategies, and hyperparameter selection. Implement appropriate validation, experiment-tracking, and reproducibility practices for AI-generated configurations or code. Compare AI-enabled and conventional experimentation approaches based on model performance, reproducibility, experiment throughput, and research efficiency. Document the framework, experiments, results, limitations, and recommendations. Share key insights and present final results to the broader R&D team. Job Qualifications Required Qualifications: Education: Working towards a PhD in Computer Science, Computer Engineering, Data Science, Electrical Engineering, Statistics, or a related field. Experience developing and evaluating machine learning or deep learning models. Hands-on experience with a deep learning framework such as PyTorch or TensorFlow. Proficiency in Python. Understanding of model training, validation, performance evaluation, and experimental design. Ability to review technical literature, formulate research hypotheses, and translate ideas into reproducible experiments. Available to work a 12-week internship from May/early June to August in the summer of 2027. Available to work 5 days a week in office at Mason, OH location. Preferred Qualifications: Experience with large language models, generative AI, and the design of multi-step agentic workflows or multi-agent systems. Experience with agentic frameworks such as LangGraph and AI observability platforms such as Arize. Experience with automated machine learning, hyperparameter optimization, experiment orchestration, or experiment-tracking systems. Experience in time-series data modeling. A record of research contributions through grants, fellowships, patents, peer-reviewed publications, conference presentations, or relevant open-source projects. Just so you know: At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise. 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. Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ’s, please click HERE . Procter & Gamble participates in E-Verify. Qualified individuals will not be disadvantaged based on being unemployed. P&G is dedicated to meeting the needs of applicants requesting an accommodation/adjustment due to a disability in order to complete the online application process. If you have a disability that affects your ability to complete our online application process, please visit our Disability Accommodation Page . Job Schedule Full time Job Number R000158985 Job Segmentation Internships Starting Pay / Salary Range $60.57 - $60.57 / hour

Job Location WHBC - WINTON HILL BUS CENTER Job Description Research and Development (R&D) at Procter & Gamble, the largest consumer packaged goods company in the world, includes a diverse group of roles that contribute to the innovation and development of our products. It encompasses roles in product research, formulation, testing, and scientific analysis. You will find variety and excitement starting Day 1. This internship is specifically designed for individuals working towards a PhD who are developing proficiency in their field. As an intern or co-op in management, you will have the opportunity to learn from experienced professionals in a supportive environment. This is a 12-week paid internship, designed to provide you with a solid foundation for future career growth. The internship will take place from May (potentially early June) to August of 2027. Join us at P&G, where your contributions will play a vital role in shaping the future of consumer products! The Opportunity: P&G has an opportunity for a PhD intern to work in our Feminine Care business working in the space of Data Scientist & Gen AI. This role leverages current Gen AI technology, multi-discipline knowledge and R&D product innovation cycle, especially by leveraging data and digital approaches. The candidate will create Gen AI tool as co-pilot to guide and influence technical project direction and enable fast problem solving by leveraging collective knowledge in our data & modeling eco-system. The candidate should demonstrate strong scientific/engineering skills through advance model development and application development. You will investigate how active learning and sequential experimentation can accelerate learning in R&D. Using historical consumer study and simulation datasets, the project will evaluate whether uncertainty estimates can identify the most informative next study, measurement, or simulation to perform. Rather than exploring the design space uniformly, the goal is to prioritize experiments that are expected to provide the greatest reduction in uncertainty and the highest learning value. This work will treat consumer studies and first-principles simulations as two applications of the same underlying problem: how to allocate experimentation resources more efficiently. The Ideal Candidate: Experience with entrepreneurial/startups and/or industrial experience are strongly preferred. Has strong ownership & self-leadership skills to understand the business objective and technical problem to be solved. Has experience collaborating with multi-functional teams. Has the ability to recognize opportunities for capabilities or technologies that can be reapplied across programs. Can independently work project priorities, multi-task, and handle a wide variety of complex, non-routine/routine tasks in a fast-paced environment. Key Responsibilities: Using historical consumer study and simulation datasets to evaluate uncertainty Identify next study, simulation, and measurement based on reduction of uncertainty Optimize experimental resources Create a prototype work process to demonstrate success Job Qualifications Required Qualifications: Education: Working towards a PhD in Computer Science, Machine Learning, Statistics, Mechanical Engineering, Computational Physics, Computational Engineering, Applied Mathematics, or Data Science. Active learning / sequential experimental design — central to recommending the next most informative consumer study or simulation. Probabilistic machine learning / Bayesian statistics — needed to represent prediction uncertainty and update confidence as evidence arrives. Surrogate modeling — needed for both consumer-response prediction and simulation-response approximation. Python — required for model development, simulation, and analysis; PyTorch, scikit-learn, BoTorch, GPyTorch, or similar tools would be useful. Experimental design and model evaluation — needed to compare active learning policies against baselines and define success metrics. Available to work a 12-week internship from May/early June to August in the summer of 2027, and at least 3 days/week onsite at Winton Hill Business Center. Preferred Qualifications/Experience: Bayesian optimization Multi-armed bandits or reinforcement learning Uncertainty quantification Gaussian processes, evidential models, Bayesian neural networks, or ensembles Scientific computing CFD / FEA familiarity, if using first-principles simulation examples Generative AI / AI-agent prototyping, but only as a communication layer, not the core research contribution Just so you know: At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise. 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. Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ’s, please click HERE. Procter & Gamble participates in E-Verify. Qualified individuals will not be disadvantaged based on being unemployed. P&G is dedicated to meeting the needs of applicants requesting an accommodation/adjustment due to a disability in order to complete the online application process. If you have a disability that affects your ability to complete our online application process, please visit our Disability Accommodation Page. Job Schedule Full time Job Number R000158406 Job Segmentation Internships Starting Pay / Salary Range $60.57 - $60.57 / hour

Job Location MASON BUS AND INNOVATION CTR Job Description Research and Development (R&D) at Procter & Gamble, the largest consumer packaged goods company in the world, includes a diverse group of roles that contribute to the innovation and development of our products. It encompasses roles in product research, formulation, testing, and scientific analysis. You will find variety and excitement starting Day 1. This internship is specifically designed for individuals working towards a PhD who are developing proficiency in their field. As an intern or co-op in management, you will have the opportunity to learn from experienced professionals in a supportive environment. This is a 12-week paid internship, designed to provide you with a solid foundation for future career growth. The internship will take place from May (potentially early June) to August of 2027. Join us at P&G, where your contributions will play a vital role in shaping the future of consumer products! The Opportunity: P&G has an opportunity for a PhD intern to work in our on our corporate function R&D team using Machine Learning for Wearable Sensing & Human Motion. Reconstructing full-body human motion from a handful of noisy, drifting wearable sensors is a challenging machine learning problem, drawing on time-series modeling, multi-modal sensor fusion, human pose estimation, and biomechanics. As a PhD Intern on the CF R&D Data Science and AI team at P&G, you will work on this problem directly, and progress on it to enable new ways of understanding how people move and interact with products outside the lab. Our research sits close to the product: the models we build inform design, ergonomics, fit, comfort, and the everyday experience of using our brands. Wearable sensing lets us observe movement and product interaction in real-world settings that lab-based methods cannot reach, and it lets us ask questions such as: How much physical effort does a task actually require? How does a product move with the body? Where does the experience break down? What should privacy-preserving, in-home consumer research look like going forward? In this role, you will extend what wearable AI can do and turn those results into tools and findings that shape design decisions. You will work with teams across R&D, Brand, and Product Development to take your models from research prototype to production. Success depends on technical depth in deep learning and sensor data, combined with the curiosity, communication, and collaboration needed to work effectively with partners across functions and levels. Key Responsibilities: Review the state of the art in full-body motion reconstruction from wearable sensors to inform modeling and sensor design choices for the project. Determine optimal sensor configurations — type, number, and placement — for a range of motion reconstruction tasks. Design, build, and refine deep learning models that convert IMU and EMG signals into accurate full-body motion. Evaluate models rigorously on public and internal datasets and critically analyze assumptions, failure modes, and limitations. Deliver a production-ready application that lets internal researchers upload recordings, run inference, and visualize results. Job Qualifications Required Qualifications: Education: Working towards a PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Robotics, Applied Mathematics / Statistics / Physics (with relevant ML and sensor-data experience), or a related fields with a focus on machine learning, wearable sensing, or human motion analysis. Research experience in one or more of the following: machine learning for time-series data, Human Activity Recognition, wearable sensing, human pose estimation, or multi-modal sensor fusion. Strong Python programming skills and hands-on experience with PyTorch or TensorFlow. Available to work a 12-week internship from May/early June to August in the summer of 2027. This is an in-person internship; candidate is expected to work from our Mason Business Center five days a week. Preferred Qualifications: Track record of research publications in venues such as NeurIPS, CVPR, SIGGRAPH, CHI, UbiComp/IMWUT, AAAI, or similar. Hands-on experience with IMU, EMG, or other wearable sensors. Familiarity with biomechanics, inverse kinematics, or human body models (e.g., SMPL). Experience deploying ML models to production or building research tools/APIs. Just so you know: At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise. 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. Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ’s, please click HERE . Procter & Gamble participates in E-Verify. Qualified individuals will not be disadvantaged based on being unemployed. P&G is dedicated to meeting the needs of applicants requesting an accommodation/adjustment due to a disability in order to complete the online application process. If you have a disability that affects your ability to complete our online application process, please visit our Disability Accommodation Page . Job Schedule Full time Job Number R000158138 Job Segmentation Internships Starting Pay / Salary Range $60.57 - $60.57 / hour

Job Location San José Job Description Important Note for Candidates: Accommodations: P&G is committed to providing accommodations to any applicant with a disability during the recruitment, assessment, and selection process. If you need an accommodation related to your disability in order to participate in the recruitment process, please click here to submit your request. If you require an accommodation for the assessment process : 1) submit your request, 2) do not complete either assessment until you have been contacted for documentation verification. Before submitting your application, we strongly encourage you to review the following material: Hiring Process and Assessment Information . Familiarizing yourself with this content will help you be better prepared for the online assessments and enhance your chances of success. Responsible for end-to-end execution of business processes within Organization Units, Functions, Markets, etc. Responsible for projects communication, deployment, and continual improvements. Provides direction and coaching to employees/leaders, as well as ensuring deadlines are met. Provides weekly updates and summary of outcomes, and after action review. Key Responsibilities: Design, develop, and deploy solutions within the KNIME Platform. Use Python code to develop and execute automation through API interactions. Analyze business processes and identify automation opportunities that improve efficiency, with quality and scalability. Collaborate with business analysts and stakeholders to gather requirements and ensure solutions align with business needs. Perform testing and troubleshooting to ensure the quality and efficiency of developed solutions. Maintain and update existing KNIME workflows and workflows with their version control. Maintain the automations running properly within the Cloud Virtual Machines Environment Utilize KNIME for data analytics, workflow automation, and integration with other applications such as Databricks, SAP, SharePoint and Graph API. Document and maintain technical specifications and project documentation. Provide support and training to end-users and other team members as needed. Stay up-to-date with the latest advancements in KNIME, Python, Databricks and Microsoft technologies. Job Qualifications Qualifications: Required: Proficiency in KNIME for data analytics and workflow automation. Proficiency in Python development and API integrations. Proficiency in Microsoft 365 technologies, especially SharePoint and Power Platform. Experience working with SQL, data pipelines and relational databases. Knowledge of software development lifecycle, testing, and troubleshooting practices. Strong problem-solving skills and attention to detail. Excellent communication and interpersonal skills Intermediate - Advance English proficiency. Ability to work independently and as part of a team. Nice to Have: 2+ years of experience developing automation, analytics, or process improvement solutions. Familiarity with HTML, Graph API and Selenium technologies. Experience in .bat, Power Shell and CMD commands for Virtual Machines Cloud Environments. Education and Experience: Bachelor’s degree in Computer Science, Information Technology, or a related field. Minimum of 2 years of experience in developing automation solutions within the software development lifecycle. What we offer! We'll give you responsibilities as of Day 1 – you will feel the ownership of your project from the beginning, and you will be given specific projects and responsibilities You'll have continuous mentorship – you will work with passionate people and receive both formal training as well as day-to-day mentoring from your manager We offer you to work and be part of a dynamic and supportive environment We promote agility and work/life balance for employees, we value every individual and support initiatives, promoting. We love flexibility. You can arrange your work schedule based on your personal needs. We will let you experience true support for work/life effectiveness and your long-term well-being. We will give you a competitive salary and benefits' package. About us! P&G serves consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®,Ambi Pur®, Ariel®, Bounty®, Charmin®, Crest®, Dawn®, Downy®, Fairy®, Febreze®, Gain®, Gillette®, Head & Shoulders®, Lenor®, Olay®, Oral-B®, Pampers®, Pantene®, SK-II®, Tide®, Vicks®, and Whisper®. The P&G community includes operations in approximately 70 countries worldwide. Please visit www.pg.com for the latest news and information about us and our brands. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status. 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. Stay connected with us on social media! Follow us for the latest updates, exclusive content, and more. LinkedIn https://www.linkedin.com/company/procter-and-gamble/ Facebook P&G Careers | Santa Ana | Facebook Instagram @pgcareerscr Job Schedule Full time Job Number R000158196 Job Segmentation Experienced Professionals