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Signal Processing Machine Learning Internship Jobs

CoVar

Signal Processing Engineer

Durham, NC · On-site

RF signal processing, electronic warfare, optimization, array processing, machine learning, adaptive signal processing, AI/ML algorithm development, radar modeling, RF propagation * Ability to work ...

Apex Systems

Signal Processing Engineer

Atlanta, GA

$95K - $160K/yr

This role involves working on projects that fuse advanced signal processing, adaptive communications, advanced algorithms, and machine learning to develop solutions for systems that include adaptive ...

STR

Principal Signal Processing Researcher

Atlanta, GA · On-site

$206K - $284K/yr

To support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms ...

STR

Principal Signal Processing Researcher

Arlington, VA · On-site

$206K - $284K/yr

To support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms ...

STR

Principal Signal Processing Researcher

Dayton, OH

$206K - $284K/yr

To support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms ...

STR

Principal Signal Processing Researcher

Woburn, MA · On-site

$206K - $284K/yr

To support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms ...

STR

Principal Signal Processing Researcher

Atlanta, GA · On-site

$206K - $284K/yr

Develop electronic warfare and radar system concepts, signal processing and machine learning algorithms, and RF solutions to remote sensing challenges * Provide technical leadership to small, multi ...

STR

Principal Signal Processing Researcher

Arlington, VA · On-site

$206K - $284K/yr

Develop electronic warfare and radar system concepts, signal processing and machine learning algorithms, and RF solutions to remote sensing challenges * Provide technical leadership to small, multi ...

STR

Principal Signal Processing Researcher

Dayton, OH · On-site

$206K - $284K/yr

Develop electronic warfare and radar system concepts, signal processing and machine learning algorithms, and RF solutions to remote sensing challenges * Provide technical leadership to small, multi ...

STR

Principal Signal Processing Researcher

Arlington, VA

$206K - $284K/yr

Develop electronic warfare and radar system concepts, signal processing and machine learning algorithms, and RF solutions to remote sensing challenges * Provide technical leadership to small, multi ...

STR

Principal Signal Processing Researcher

Dayton, OH

$206K - $284K/yr

Develop electronic warfare and radar system concepts, signal processing and machine learning algorithms, and RF solutions to remote sensing challenges * Provide technical leadership to small, multi ...

STR

Principal Signal Processing Researcher

Woburn, MA · On-site

$206K - $284K/yr

Develop electronic warfare and radar system concepts, signal processing and machine learning algorithms, and RF solutions to remote sensing challenges * Provide technical leadership to small, multi ...

STR

Principal Signal Processing Researcher

Woburn, MA · On-site

$206K - $284K/yr

Develop electronic warfare and radar system concepts, signal processing and machine learning algorithms, and RF solutions to remote sensing challenges * Provide technical leadership to small, multi ...

STR

Principal Signal Processing Researcher

Atlanta, GA · On-site

$206K - $284K/yr

Develop electronic warfare and radar system concepts, signal processing and machine learning algorithms, and RF solutions to remote sensing challenges * Provide technical leadership to small, multi ...

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Signal Processing Machine Learning Internship information

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$25.5K

$42.6K

$88K

How much do signal processing machine learning internship jobs pay per year?

As of Jun 10, 2026, the average yearly pay for signal processing machine learning internship in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Signal Processing Machine Learning Internship vs Signal Processing Engineer?

AspectSignal Processing Machine Learning InternshipSignal Processing Engineer
Required CredentialsTypically pursuing or recently completed a degree in Electrical Engineering, Computer Science, or related fieldsBachelor's or Master's degree in Electrical Engineering, Signal Processing, or related disciplines
Work EnvironmentInternship programs in tech companies, research labs, or startups, often part-time or temporaryFull-time roles in industry, research, or development teams
Employer & Industry UsageUsed by companies developing audio, communication, or sensor systems; common in research projectsDesigning, developing, and maintaining signal processing systems in telecommunications, audio, or defense industries

The Signal Processing Machine Learning Internship provides hands-on experience for students or recent graduates, focusing on learning and supporting projects. In contrast, a Signal Processing Engineer is a full-time professional responsible for designing and implementing signal processing solutions. Both roles require a strong foundation in signal processing, but the internship is more educational, while the engineer role involves ongoing project responsibilities.

What is a Signal Processing Machine Learning Internship?

A Signal Processing Machine Learning Internship is a temporary, learning-focused position where students or recent graduates work on projects that combine signal processing techniques with machine learning algorithms. Interns typically analyze and interpret data signals—such as audio, image, or sensor data—using advanced computational methods to extract meaningful patterns or features. The internship provides hands-on experience in areas like feature extraction, data preprocessing, and implementing machine learning models for signal-based applications. Interns often collaborate with experienced engineers and researchers, apply theoretical knowledge to real-world problems, and gain exposure to tools like MATLAB, Python, and specialized libraries. The experience is valuable for those interested in careers at the intersection of signal processing and artificial intelligence.

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

To thrive as a Signal Processing Machine Learning Intern, you need a solid background in mathematics, signal processing concepts, and programming languages such as Python or MATLAB, typically supported by coursework in electrical engineering or computer science. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch), digital signal processing tools, and simulation environments is often required. Strong analytical thinking, problem-solving ability, and effective communication skills help interns collaborate with teams and present technical findings clearly. These skills and qualities are vital to efficiently develop, test, and deploy machine learning algorithms that address complex signal processing challenges.

What types of projects do interns typically work on during a Signal Processing Machine Learning Internship?

Signal Processing Machine Learning interns are often assigned to projects involving the development and optimization of algorithms for audio, image, or sensor data analysis. You might work on tasks like improving noise reduction techniques, designing real-time feature extraction pipelines, or prototyping machine learning models for pattern recognition. Interns usually collaborate closely with experienced engineers and researchers, participate in regular code reviews, and may contribute to both research experiments and production-level solutions. This hands-on experience provides valuable exposure to both theoretical and practical aspects of signal processing and machine learning in a team-oriented environment.
Infographic showing various Signal Processing Machine Learning Internship job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 50% Full Time, 38% Part Time, 8% Contract, and 2% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Signal Processing Engineer

CoVar

Durham, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Signal Processing Engineer

About CoVar

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world.

About this position

You will help CoVar develop signal processing algorithms and software to solve real-world customer problems. You will develop novel and advanced algorithms for sense making and sensor decision making for applications in the RF domain to include detection, localization, classification, tracking and EW. You will design and implement simulations for these RF applications as well as evaluate results on real world data. You will have the opportunity to present your work to high-level customers in the DoD and in the industry. The position includes opportunities to publish novel work in both classified and unclassified settings.

Key Responsibilities

  • Algorithm Development: Design, implement, and optimize signal and array processing algorithms for RF applications, detection, localization, tracking, channel estimation, beamforming, and spectral analysis.
  • Data Analysis: Process and interpret RF datasets for signal detection, classification, tracking, parameter estimation, and pattern recognition.
  • Prototyping & Testing: Develop simulation models (e.g., Python, MATLAB) and implement algorithms on real-time platforms such as FPGAs, GPUs, or SDRs (Software-Defined Radios).
  • RF System Integration: Collaborate with hardware engineers to integrate digital signal processing (DSP) algorithms into RF systems and ensure optimal end-to-end performance.
  • Performance Evaluation: Conduct laboratory and field testing to validate system performance under various operational conditions.
  • Research & Innovation: Stay up to date with emerging RF technologies, advanced signal processing techniques, and industry best practices.
  • Documentation: Prepare technical reports and presentations for internal and external stakeholders.

Minimum qualifications

  • B.S., M.S., or Ph.D in Electrical Engineering, Computer Engineering, Applied Physics, Applied Mathematics, or a related field.
  • 3+ years of experience in RF signal processing or a related discipline.
  • Strong proficiency in one or more of the following programming languages: Python, C/C++, or MATLAB.
  • Experience in the following areas:
    • RF signal processing, electronic warfare, optimization, array processing, machine learning, adaptive signal processing, AI/ML algorithm development, radar modeling, RF propagation
  • Ability to work with cross-functional engineering teams and clearly communicate complex technical concepts.
  • Ability to work in Durham, NC (relocation assistance available)
  • Eligibility for US security clearance

Preferred qualifications

  • Experience with:
    • Radar signal processing in Department of Defense (DoD) specific applications including electronic warfare (EW) techniques such as electronic support measures, attack, protection, and cognitive EW.
    • AI/ML algorithm design in the areas of computer vision, reinforcement learning (RL), and natural language processing.
    • Spectrum monitoring and signal classification using machine learning techniques.
    • Translating the mission needs of DoD customers into an end-to-end technical solution.
    • Proposal development and proposal writing.
  • Familiarity with FPGA or GPU acceleration for high-performance DSP.
  • Proficiency in C/C++ for embedded or real-time applications.
  • Active U.S. security clearance.

Benefits

  • Competitive salary, cash bonus, equity structure, and 401k with employer contributions
  • Excellent health care coverage, including dental and vision plans
  • Parental leave
  • Short-term and long-term disability insurance
  • Life insurance
  • Flexible work schedule
  • Tuition support
  • PTO and paid holidays

Visit us: www.covar.com