Data Science Intern

Impinj•Seattle, WA

4h•$26 - $40•Hybrid

About The Position

Impinj is a leading RAIN RFID provider and Internet of Things pioneer. We’re inventing ways to connect every thing to the Internet — including retail apparel, retail general merchandise, healthcare items, automobile parts, airline baggage, food and much more. With more than 100 billion items connected to date, and multiple Fortune 500 enterprises around the world using our platform, we solve for a better understanding of our world. If it’s a thing, we’re working to connect it. Join Impinj and help us realize our vision of a boundless IoT— connecting trillions of everyday items to the Internet. Team Overview: Impinj is seeking a Data Science Intern specializing in machine learning model development and data analysis to join our silicon process engineering team. This role will work closely with endpoint IC engineering teams including product and test engineering, industrialization and factory software. In this position, you will design and develop algorithms and models to improve product quality and manufacturing yield and extract critical data to improve customer experience. If you have a passion for working with data to solve real-life challenges on the scale of billions of chips, this is the role for you. Why Intern with Impinj: The Impinj Summer Internship Program is designed to provide undergraduate and graduate students with a comprehensive learning experience that goes beyond traditional work assignments. It offers a unique blend of professional development, mentorship, and networking opportunities to help interns thrive in their roles and prepare for successful careers. Students develop valuable skills through interactive learning sessions and receive personalized mentorship and guidance from early-career colleagues. The program offers more than just a resume boost. It’s a chance to access hands-on experience, leadership insights, and a network of peers and mentors that lasts well beyond the summer. Learn what our interns last year had to say about their experience: Impinj Intern Program: A Season of Learning, Connection, and Fun (Impinj blog). This Summer Internship Cohort begins on Monday, June 15 and ends September 4. The start date is firm; the end date is flexible to end early. All internship positions report at least on a hybrid basis to our Seattle office. There is opportunity for full time employment for those graduates or those entering their senior year. Compensation & Benefits: The benefits listed below may vary depending on the nature of your employment with Impinj and the country where you work. The typical base pay range for this role across the US is $26.00/hr - $40.00/hr. Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time. At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. US based employees have access to healthcare benefits; a 401(k) plan and company match among others. For a more comprehensive list of US employment benefits, click here. US Export Controls: This position has access to technologies or data subject to U.S. export control regulations. Under these laws, the release or transfer of export-controlled items or information to individuals who are not classified as "U.S. persons" (as defined by Immigration & Nationality Act) may require prior authorization from the U.S. government. We may require additional documentation related to national identity to determine whether an export compliance license is required for any export-controlled items. This information is requested solely for the purpose of complying with U.S. export control laws and will not be used for other purposes. Learn more about export compliance here. Why work at Impinj: Know you’re making a difference. Competitive benefits. Support for remote work or a desk with a view. Weekly Q&A sessions with our executive team. Impinj provides an environment that fosters openness and innovation and is developing technology that delivers a positive impact on the world. Collaboration and teamwork are highly valued, and accomplishments are duly celebrated. We have an open paid time-off policy paired with a respect for work/life balance. Our headquarters is located in Seattle with spectacular views of the Olympics, Lake Union, and Mt Baker, which can be enjoyed from our rooftop deck. Our Brazilian site is in Porto Alegre, Rio Grande do Sul state, at “Tecnopuc,” a technology park that offers a very nice workplace for the development of groundbreaking technologies. Impinj is committed to creating a diverse and inclusive work environment and welcomes applicants from all backgrounds. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran 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.

Requirements

Currently enrolled in a Bachelor's or Master’s program in Data Science, Computer Science, Statistics, or related programs
Experience of machine learning model development
Knowledge of programming in python, JMP scripting language, R or C++
Experience with data management, critical analysis, and attention to detail
Clear communication skills and ability to document technical information for a variety of intended audiences

Responsibilities

Develop traditional algorithms and machine learning models to improve manufacturing quality and productivity
Collaborate with multi-functional partners to efficiently deploy the solutions to support manufacturing
Redefine raw data into a high-quality, structured format, including data cleaning, correcting errors, handling missing values, integrating data from multiple sources, and scaling variables to enhance model performance and ensure accurate, reliable predictions