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As one of the most prolific innovation centers in the world, PARC offers an exceptional internship experience (a number of PARC employees also started their careers here as interns). Considered valuable members of our community, interns are fully integrated into the daily activities of PARC's highly collaborative, multidisciplinary culture. Our interns have the opportunity to:

  • work with leading researchers in the physical, computer, biological, and social sciences;
  • engage in different stages of the research or business-development pipeline;
  • participate in lab meetings, presentations, poster sessions, and special programs; and
  • author publications and/or patents.

Please feel free to download and post this program flyer at your organization. More program information and FAQs in right sidebar. Applications are considered as they are submitted.


Customer Interest/ Event Modeling - Webster, NY

PhD candidate in computer science or related fields with machine learning background in multi-modal data such as natural language process, image processing to Research, design and prototype novel machine learning methods

Factory Science/ Operations Research - Webster, NY

Graduate students in the fields in the fields of operations research, industrial engineering, computational and mathematical sciences with 3.0+ GPA with interdisciplinary skills also include big data analytics, modeling and simulation, and systems design to understand service operations and business processes and develop suitable abstractions for modeling and build software tools

Internship in Explanatory Modeling - Palo Alto, CA

Looking for candidates with automated model formulation method experience. Working towards PhD in Computational Scientific Discovery.

Internship in Interactive Intelligence for Mobile Health - Palo Alto, CA

PhD candidate in Computer Science, Cognitive Science, or related discipline to work on projects related to behavior change in health and wellness.

Learning Autonomous Control for Real World Manipulation Tasks - Palo Alto, CA

PARC's Self-Learning Systems project is looking for PhD candidates with experience in deep learning, reinforcement learning and optimization to develop novel learning algorithms to control autonomous systems.

Learning Autonomous Control for Real WorldManipulation Tasks - Palo Alto, CA

PARC's Self-Learning Systems project is looking for PhD candidates with experience in deep learning, reinforcement learning and optimization to develop novel learning algorithms to control autonomous systems.

Modeling and Optimization for Business Process Management - Webster, NY

Graduate student focusing on Modeling and Optimizing of Business Processes, Workflow management and Automation with strong skills with process mining, modeling software, BPMN 2.0, and a background in optimization, statistics, artificial intelligence, and programming skills to derive new algorithmic approaches in BPM for process discovery, decision management

Ph.D. intern in computer science or related field - Palo Alto, CA

Ph.D. intern in computer science or related field, with strong mobile coding skills and experience in physiological data analysis.

Statistical modeling and machine learning in healthcare - Webster, NY

Minimum cumulative GPA of at least 3.0 with practical experience applying statistical modeling and machine learning algorithms with real data sets to derive advanced predictive models using available data and evaluation and interpretation of developed models

System Failure Modeling, Monitoring, Prognostics, Diagnostics - Palo Alto, CA

Graduate students or undergraduate students completed at least 3 years of study, in Computer Science, Electrical Engineering, Mechanical Engineering with background in system modeling, monitoring, prognostics, diagnostics, machine learning, or optimization to assist in designing, developing, and delivering innovative approaches, algorithms, methods, and models as needed for system analysis, state monitoring, prediction, and recommendations

User Modeling and Personalization - Webster, NY

Graduate student candidates in computer science with strong background in Machine learning as applied to personalization and recommender systems to develop techniques for building user models from data with privacy protections

Video Analytics/ Computer Vision/ Machine Learning - Webster, NY

M. S. or Ph.D. in computer science, electrical engineering, mathematics/statistics with experience related to developing video/image analysis technology with a focus on information and content identification and extraction to invent, design and prototype novel video analysis applications that intelligently extract relevant information from video data streams



PARC draws on the diversity of a global workforce and is committed to providing equal employment opportunities to achieve success. As an equal opportunity employer, PARC affirms in policy and practice to recruit, hire, train, and promote in all job classifications -- without regard to race, color, religion, sex, age, national origin, citizenship status, marital status, sexual orientation, or gender identity. PARC does not discriminate against veterans or disabled persons because of their handicap, considering the need for reasonable accommodation to their limitations and in accordance with federal, state and local laws.



program information

how to apply

You can only apply online by selecting from one or more of the available intern positions.


We invite highly qualified graduate, undergraduate, and MBA students to apply. We draw from a variety of fields spanning the physical, computer, biological, and social sciences.

application requirements

You will need to provide: contact information, resume which includes education history, work history, professional interests, skills and an optional cover letter. 


All internships are paid.

international students

There are no residency requirements, so international students are welcome to apply.


Internships last a minimum of 12 weeks, but the specific dates (summer, fall) and lengths vary.


All internships take place on site in Palo Alto, CA or Webster, NY.


We provide roundtrip transportation and limited relocation assistance, though students are responsible for finding their own housing.


Students are responsible for finding ongoing transportation. Many of our employees find the area and climate to be bicycle friendly, and PARC has an award-winning Alternative Transportation incentive program.