New

AI and Automation Developer Intern

Ericsson
United States, Texas, Plano
Nov 05, 2025
Join our Team Automation and AI Intern Location: Plano, TX Duration: 12 weeks Start Date: Tuesday, May 26, 2026 Upload an unofficial copy of your transcript Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1, and TN. Ericsson also does not hire F-1's working on EAD for this position. About this opportunity: We are looking for a talented Automation and AI Intern who wants to be part of a team that is operationalizing AI and Automation across Ericsson's North America business. You'll join a high-performing, fast-paced team at the forefront of Ericsson's AI and automation transformation - driving solutions that create measurable impact in how networks are operated and optimized. This is an opportunity to work on real-world AI, Machine Learning, and Predictive Analytics use cases that improve efficiency, reduce cost, and enhance customer satisfaction across the telecom domain. What You Will Do: Collaborate with cross-functional teams to identify opportunities for AI and automation in telecom operations. Design and implement scalable, maintainable, high-performance automation solutions aligned with enterprise standards. Develop Python-based automation scripts, APIs, and machine learning models to solve operational challenges. Support data science and predictive modeling initiatives. Apply critical thinking and decision-making to analyze data patterns, trends, and predictive outcomes. Contribute to AI/ML model development, validation, and deployment pipelines. Document architecture, code, and solution workflows to support long-term maintainability. Present your findings and results clearly to both technical and non-technical stakeholders. The skills you bring: Actively enrolled in an accredited undergraduate or master's, on a full-time basis at a four-year college or university at the time of the co-op/internship. 2.7+ GPA or equivalent, please upload an unofficial copy of your transcript. Be available to work 40 hours per week. Applicable Majors/Degrees include Computer Science, Engineering, Mathematics, or a related field. Solid understanding of AI, Machine Learning, Data Science, and Predictive Analytics concepts. Hands-on experience with Python, including libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow. Strong critical thinking, decision-making, and communication skills. Familiarity with Telecom domain concepts or interest in understanding the role of AI in network operations. Exposure to Agile methodologies, planning, and organizing complex projects. Curiosity and initiative to learn new technologies and drive customer satisfaction through innovative solutions. Proven ability to deliver results, collaborate effectively, and think analytically. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com. DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: United States (US) \|\| Plano Job details: Application Dev & 3rd Level Support Compensation and Benefits at Ericsson At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals. Your Pay The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience.