Machine Learning Intern (Summer 2026)

DeepSig Inc • Arlington, VA

91d

About The Position

Company Overview: DeepSig Inc. is a venture-backed technology company pioneering the use of AI in 5G and other wireless systems by replacing traditional signal processing with machine learning. DeepSig software products achieve significant performance increases while reducing power consumption to bring value to our customers. Job Summary: We are looking for a motivated and enthusiastic individual to join our team as a Machine Learning Intern. The ideal candidate will have a strong background in machine learning concepts and techniques, with a particular focus on wireless technologies. While prior experience in wireless technologies is considered a plus, it is not mandatory. This is a fantastic opportunity to gain hands-on experience in machine learning while working on cutting-edge projects in the wireless domain. If you are passionate about technology and eager to learn, we encourage you to apply and join us in shaping the future of AI and wireless communication.

Requirements

• Pursuing Master’s or PhD in EE, CE or a related field, graduation date no later than August 2027
• Strong understanding of machine learning concepts, algorithms, and libraries (e.g., TensorFlow, PyTorch)
• Familiarity with programming languages such as Python, Java, or C++
• Excellent problem-solving skills and attention to detail
• Good communication and collaboration abilities
• Experience or coursework in digital signal processing and/or wireless communication is preferred
• Candidates must be authorized to work in the United States

Responsibilities

• Collaborate with the team to develop and implement machine learning algorithms and models
• Assist in collecting, cleaning, and analyzing data sets related to wireless technologies
• Contribute to the design and optimization of machine learning solutions for wireless communication systems
• Participate in team meetings, brainstorming sessions, and knowledge-sharing activities
• Stay updated with the latest advancements in machine learning and wireless technologies.

Benefits

• Competitive salaries
• Flexible schedule
• Great work/life balance
• Encouragement of participation in scientific publications, conferences, and open-source software
• Welcoming and inclusive environment

What This Job Offers

• Career Level: Intern
• Education Level: Master's degree
• Number of Employees: 11-50 employees