Data Scientist Intern
Ericsson | |
remote work | |
United States, California, Santa Clara | |
Dec 15, 2024 | |
Join our Team
Summer 2025 Location - Santa Clara, CA Ericsson Inc. does not sponsor US work authorization 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. Ericsson offers a hybrid work approach (60% in-office, 40% work from home). Are you able to work in-person at the Santa Clara Office, 3 days per week, as required for this role? About this opportunity As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we've made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you're welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Come, and be where it begins. As an intern with Ericsson, you will enjoy: * 1:1 Mentorship * Intern Specific Events & Projects * Career Development * Peer & Senior Level Networking * Participation in Employee Resource Groups Internship Eligibility Requirements * 3.0+ GPA * Currently pursuing an Master's or PhD on a full-time basis at a 4-year college or university * Be available to work 40 hours per week during the summer * Have at least 1 semester left (post-internship) * Major, experience, or demonstrable interest in the position you apply for In this exciting opportunity you will be working with our Global Artificial Intelligence Accelerator (GAIA) Team. This central unit is chartered with the responsibility of building a high-end competence center that brings together a team of high-end Data Scientists, Data Engineers, Software Engineers and ML Architects towards the goal of improving Ericsson's products and services portfolio with AI capabilities. What you will do - Define the problem from use cases and the voice of internal customers in AI/ML domain - Collect, distill, and label data - Design and train machine learning models - Contribute to rapid and iterative development of minimum viable products - Contribute to IP creation for Ericsson in AI/ML You will bring - Pursuing a Master's degree or PhD in Computer Science/Engineering, Machine Learning, Data Science, or equivalent - Skilled in hands-on projects using Pytorch - Ability of understanding deep learning papers (e.g., CVPR, ICML, etc.) and implementing the ideas - Experience in computer vision projects is a plus - Publication in the field of computer vision or deep learning is a big plus This position reports to Director Data Science. Compensation Data
Compensation and Benefits at Ericsson: Your Pay Accepting applications until Dec 31, 2024 or until filled. Why join Ericsson? At Ericsson, youll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of whats possible. To build solutions never seen before to some of the world's toughest problems. Youll be challenged, but you won't be alone. Youll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we nurture it in everything we do. We truly believe that by collaborating with people with different experiences we drive 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 and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.mana@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) || Santa Clara Job details: Developer |