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5 Futurewei Technologies Machine Learning Intern Jobs Hiring Near You

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What are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What other companies are hiring for Machine Learning Intern jobs?
What are the most popular jobs at Futurewei Technologies?
What are the most popular categories at Futurewei Technologies?
Infographic showing various Machine Learning Intern job openings at Futurewei Technologies in the United States as of May 2026, with employment types broken down into 71% Internship, and 29% Full Time. Highlights an 86% Physical, and 14% Remote job distribution.
Research Intern - Advanced Wireless Technology Development for 6G Networks

Research Intern - Advanced Wireless Technology Development for 6G Networks

Futurewei Technologies

Schaumburg, IL

Other

Posted 25 days ago

Job description

Futurewei is expanding leadership in creating innovative networking technologies for 6G wireless networks. We are seeking interns to focus on PHY layer research into wireless networking and technology for 6G Radio Access Networks.
Responsibilities:

  • Our intern will focus on research into wireless networking and technology for 6G Radio Access Networks.
  • The program goal will be to develop and demonstrate novel concepts for advanced wireless networks utilizing cutting-edge communication theory techniques, drawing from advances in optimization and signal processing techniques, and built upon our existing research outcomes in these areas.
  • A range of research activities are available to pursue in this important area. These have been identified as part of our recent research work and include advanced MIMO/BF communication, network energy saving, PHY layer signal and receiver design in mobile networks, etc.
Requirements:
The successful candidate will have:
  • Completion of applicable graduate coursework in relevant fields within electrical engineering and/or applied mathematics, e.g., wireless communication, signal processing, stochastic processes, communications networks, and optimization. Doctoral students with completion of master's degree, in Electrical Engineering, Computer science and/or Applied Mathematics are preferred.
  • Candidate should have knowledge in wireless networks, and knowledge and previous experience in reference signal design, MIMO/Beamforming and its performance evaluation for wireless communications.
  • Excellent communication and teamwork skills.
  • Proficiency with commercial programming/processing tools, e.g., MATLAB, Python.

Location:
Schaumburg, IL
Futurewei Technologies, Inc. is proud to be an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status under federal, state, and local laws.

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