ZipRecruiter

Log In

1

Signal Processing Machine Learning Internship Jobs

Neuralink

Signal Processing Engineer

Austin, TX

$121K - $230K/yr

You will collaborate closely with the SoC, Firmware, and Machine Learning teams to translate high-level signal processing needs into production-ready solutions. Key Responsibilities * Design and ...

CX2

Signal Processing Engineer

El Segundo, CA

CX2 is seeking a highly skilled Signal Processing Engineer to join our growing team. The ideal ... RF machine learning for emitter ID, modulation/classification, anomaly detection, PDW creation

CX2

Signal Processing Engineer

El Segundo, CA

$140K - $190K/yr

CX2 is seeking a highly skilled Signal Processing Engineer to join our growing team. The ideal ... RF machine learning for emitter ID, modulation/classification, anomaly detection, PDW creation

CX2

Signal Processing Engineer

El Segundo, CA · On-site

$140K - $190K/yr

CX2 is seeking a highly skilled Signal Processing Engineer to join our growing team. The ideal ... RF machine learning for emitter ID, modulation/classification, anomaly detection, PDW creation

Apple

HID Algorithms Engineer

Cupertino, CA

$147K - $272K/yr

Our team draws from diverse backgrounds: signal processing, machine learning, firmware, software engineering, physics, human factors, and more; all dedicated to inventing new ways users interact with ...

Apple

HID Algorithms Engineer

Cupertino, CA

$147K - $272K/yr

Our team draws from diverse backgrounds: signal processing, machine learning, firmware, software engineering, physics, human factors, and more; all dedicated to inventing new ways users interact with ...

next page

Showing results 1-20

People also search for

All JobsSignal Processing Machine Learning JobsSignal Processing Machine Learning Internship Jobs

Signal Processing Machine Learning Internship information

See salary details

$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.
Digital Signal Processing (DSP) Engineer with Security Clearance

Digital Signal Processing (DSP) Engineer with Security Clearance

Tailored Access, LLC

Chantilly, VA

Other

Posted 26 days ago

Job description

What Impact You'll Have Join GRVTY's mission-focused team as a Digital Signal Processing (DSP) Engineer, where you'll contribute to the development of advanced SIGINT capabilities supporting national security customers. You'll work alongside engineers and mission partners to design, build, and deploy signal processing solutions that operate in complex mission systems. In this role, you'll help deliver next-generation capabilities across software-defined radio, machine learning, and analytic tool development, directly supporting those on the front lines of national security.

What You'll Be Owning: Design, develop, test, and integrate signal processing algorithms for SIGINT mission systems. Build and maintain DSP software in Python and C++ across Linux-based environments. * Enhance and support existing signal processing toolsets, with a focus on X-Midas-based systems.

Develop and integrate machine learning approaches into signal processing workflows. Collaborate with cross-functional teams to define system requirements, architecture, and CONOPs. * Support full software development lifecycle activities, from concept through deployment and sustainment.

Develop analytic tools and software to process, exploit, and analyze RF and related data. What You Must Have: Active TS/SCI clearance with ability to obtain a CI/Poly. * Bachelor's degree in Electrical Engineering, Computer Engineering, or related technical field (or equivalent experience).

Experience developing software in Python and C++ in Linux environments. Experience with X-Midas or similar signal processing frameworks. * Experience working with signal processing systems or SIGINT applications.

Understanding of the full software development lifecycle. Experience working in collaborative engineering teams. * Ability to communicate technical concepts clearly in written and verbal formats.

What Would Be Nice to Have: Familiarity with software-defined radio systems, including receiver architectures, modulation/demodulation, and spectral analysis. Experience applying machine learning techniques to signal processing problems. * Experience with containerization technologies such as Docker or Kubernetes.

Knowledge of RF systems, including link budgets, range estimation, or system sensitivity analysis. Experience supporting DoD, SIGINT, or electronic warfare mission environments. * Exposure to telemetry systems or target tracking systems.

Apply