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IDG Ecosystem, A Lenovo Company, is one of the world’s fastest-growing device ecosystem providers, creating groundbreaking, affordable, high-quality products designed and built with the global customer in mind. And it’s our people who make this all happen. We are thinkers, risk-takers, and problem solvers, constantly working together to challenge the status quo. If you share our commitment to ingenuity, creativity, and innovation, we want you to help us define our world of tomorrow.
Hello Interns!
IDG Ecosystem interns work on real-world projects, gain exposure to cross-functional teams, develop business acumen and get to network with various levels of Executive leadership. This paid program is based on site in Chicago, IL, and requires that you are located in the United States throughout the program
About the Team:
This internship offers a unique opportunity to collaborate with our talented engineering professionals, engage in problem-solving, and gain essential knowledge of the business. The primary objective is to inspire AI in our products for the future. Join us to work on critical AI-related projects in a less structured way. You will encounter various teams, including product development, customer experiences, product managers, services, and strategy. The program allows opportunities beyond our traditional internship program, and the topics students work on tend to be open-ended and exploratory.
Description and Requirements
We are seeking a dedicated and enthusiastic group of students who are top of their class from Undergraduate Seniors, Masters Students, and students pursuing PhD degree programs in Computer Science or a related field. This program is best suited for students who will be able to commit to the full six-month duration.
Primary Responsibilities:
Participate in projects to develop solutions for real-world problems
Design and develop prototypes, proof-of-concept applications, or visualizations that showcase the practical applications of AI
Create predictive models and algorithms using machine learning techniques to forecast outcomes
Collect, clean, and analyze datasets relevant to solution development
Work independently and collaboratively within a team of experienced engineers
Shadow and learn about AI related to our devices, use cases, and 3rd party application ecosystem
Maintain up-to-date knowledge of the latest advances in machine learning and artificial intelligence technologies
Essential Qualifications:
Currently, at least one of the statuses below in computer science or a related technical field:
A recent bachelor’s college graduate or graduate upcoming Summer
A current master’s student or graduate upcoming Summer
A student pursuing a PhD program
If currently a student, is currently attending a degree program in the United States
Experience with at least one or more of the following technical areas: Natural Language Understanding, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Software Engineering, or similar areas
Preferred Qualifications:
Experience as a researcher, including internships, full-time, or at a lab
Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.)
Experience contributing to research communities or efforts, including publishing papers in major conferences or journals
Passionate about Artificial Intelligence
Strong Interest in server infrastructure, networking and IT solutions
Excellent problem-solving skills and a passion for technology
Strong communication and collaboration abilities
Ability to work independently and as part of a team
Eagerness to learn and adapt to new challenges
The salary range budgeted for this position is $33 - $44 per hour and is based on years of educational experience.
Lenovo's various benefits can be found at www.lenovobenefits.com. Interns are not eligible for Lenovo's employee benefits, except to the extent required by law. Lenovo complies with any applicable sick or paid leave law, including the Illinois Paid Leave for All Workers Act, the Chicago Paid Leave and Paid Sick Leave ordinance, and the Cook County Paid Leave Ordinance, to the extent applicable based on the location of the intern and the length of the assignment.
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