Machine Learning Intern

Position Summary

Headquartered in Englewood Cliffs, N.J., Samsung Electronics America, Inc. (SEA), the U.S. Sales and Marketing subsidiary, is a leader in mobile technologies, consumer electronics, home appliances, enterprise solutions and networks systems. For more than four decades, Samsung has driven innovation, economic growth and workforce opportunity across the United States—investing over $100 billion and employing more than 20,000 people nationwide. By integrating our large portfolio of products, services and AI technology, we’re creating smarter, sustainable and more connected experiences that empower people to live better. SEA is a wholly owned subsidiary of Samsung Electronics Co., Ltd.
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Role and Responsibilities

Samsung Electronics America, Inc. is now accepting applications for its Summer 2026 Intern Program. This exciting opportunity offers a paid, 10-week experience for selected senior or recently graduated students. The program will run from June 1 to August 7.

Eligible students will be seniors or recent graduates, possess U.S. work authorization, and be able to work full-time on a 5-day-per-week on-site schedule. Additionally, participation in this program requires that you be located in the United States for the duration of the engagement.

Applications will be reviewed on a rolling basis, so early submission is encouraged. The application window is open until March 15, 2026; however, it may close earlier if all available roles are filled. Applications submitted after the application window or once a role is closed/projects are full will not be considered.

As a Machine Learning Intern in the Engineering Services (ES) Team, you will work under the coaching of Senior and Lead engineers to analyze Samsung’s deployed network elements. You will utilize skills to query databases to extract data, use skills in Python or R to analyze data such that you can identify 4G/5G network infrastructure issues and build prediction models, ad-hoc tools, and dashboards to communicate your findings with your team and peers.

Role and Responsibilities:

• Recent graduate or 0-2 years of professional experience in Engineering, ability to work with large datasets using strong statistical methods
• Work closely with the internal and external stakeholders to define 4G/5G KPI measurement methodologies and targets (KPI, KQI) for 4G/5G RAN product acceptance.
• Work closely with stakeholders to help build products that help utilize large amount of structured & unstructured data in analyzing network performance
• Utilize A/B testing to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product evaluation
• Leverage machine learning and statistical methodologies to extract patterns and hidden knowledge from data.
• Communicate key findings to stakeholders using visualizations and/or other suitable methods
• Aid in product & feature performance analysis, evaluation of new product & SW releases and 3rd party product evaluation using analytics/data science to drive intelligent business decisions.
• Work with the team to proactively define and interpret data/metrics/KPIs, analyze results, and provide insights to determine operational impact, trends and opportunities for all the 4G/5G RAN products.
• Excellent verbal and written communication skills to communicate technical concepts, and complex in a easy-to-follow progression
• Adapt to changes in a dynamic business environment and, support management initiatives

Skills and Qualifications

• Currently pursuing a MS/PhD in Computer Science, Statistics, Engineering, Applied Science, Economics

• Programming experience: Python, Spark, R, SQL, Hive, JavaScript, Visual Basic, C++

• Machine learning expertise: GLM Regression (Linear, Logit, Multinomial), Decision Tree (including Boosted Trees, Random Forest), kMeans/Hierarchical Clustering, Principle Component Analysis, Neural Network, Bayesian Regression, & Times Series

• Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a Hadoop framework

• Experience with Data Wrangling, Exploratory Data Analysis (EDA), Correlation Analysis, Statistical methodologies & significance testing, A/B testing.

• Strong interest in supporting consumer-facing functions for consumer products, retail, tech, or telecom industries

• Self-starter. Self-motivated. Wanting to learn. Can work alone, as well as being a member of a team. Result-Driven person

• Good verbal and written communication skills. Able to compile analysis output and findings into succinct story for technical and non-technical audiences.

Physical/Mental Demands and Working Conditions: The position requires the ability to perform the essential duties and responsibilities in the following environment:

• Excellent interpersonal and communication skills. Must be skilled in developing and maintaining good working relationships with all appropriate levels within and outside the company

• Operate a computer keyboard and view a video display terminal more than 75% of work time in an office work environment

• Frequently works additional hours beyond normal schedule

• Performs work under time schedules and stresses which are normally periodic or cyclical and include time sensitive job stress, fatigue, unpaid over-time, intellectual challenge, constant technical data feedback, language barriers, and project management stress.

• Machines, tools, equipment, and work aids include PC’s, printers, etc. most often associated with office work area equipment.

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At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

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Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process

Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or om for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.