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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.
AI / Machine Learning Engineer Sr Staff (Signal Processing)

AI / Machine Learning Engineer Sr Staff (Signal Processing)

Lockheed Martin

Fort Worth, TX • On-site, Remote

Full-time

Posted 4 days ago

Lockheed Martin rating

8.1

Company rating: 8.1 out of 10

Based on 379 frontline employees who took The Breakroom Quiz

35th of 60 rated aerospace companies

Job description

Job Description:

We are seeking a highly motivated and experienced Artificial Intelligence Engineer to join our Lockheed Martin Artificial Intelligence Center (LAIC) team. As a key member of our Applied AI team, you will play a critical role in developing technologies and products that leverage Artificial Intelligence to provide discriminating signal processing capabilities to our customers. You will work on a broad range of projects across the LAIC, from low Technical Readiness Level research to deployment and will be responsible for leading critical technical projects.
Key Responsibilities:
• Develop and Apply AI Technologies
• Develop and apply current AI paradigms, including computer vision, deep learning, and reinforcement learning, to solve complex signal processing problems and field innovative solutions.
• Engage in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test.
• Take ownership of critical tasks and lead technical teams to deliver high-quality solutions.
• Participate in the development of proposals and whitepapers to secure funding for AI research and development projects
Technical Leadership and Mentorship:
• Assume technical lead responsibilities and mentor junior engineers to help them develop their skills and expertise.
• Provide guidance and support to team members to ensure successful project execution.
• Collaboration and Communication:
• Work collaboratively with cross-functional teams to develop and deploy AI solutions.
• Communicate complex technical concepts and solutions to non-technical stakeholders.
• Engage with other Lockheed Martin teams to identify opportunities for AI adoption and application.
Technical Skills:
• Strong background in software engineering, artificial intelligence, and machine learning.
• Strong background in signal processing theory and application (radar, communication, electronic warfare, sonar, audio, or biomedical)
• Experience with current AI paradigms, including computer vision, deep learning, and reinforcement learning.
• Proficiency in programming languages such as Python, Java, or C++.
Soft Skills:
• Self-motivation, strong work ethic, and time management skills.
• Excellent interpersonal and communication skills.
• Engage with other Lockheed Martin teams to identify opportunities for AI adoption and application
• Education and Experience:
• Bachelor's degree in a relevant field, such as computer science, electrical engineering, or mathematics.
• 8+ years of experience in AI or a related field.
What We Offer:
• Opportunity to Work on High-Impact Projects:
• Work on a broad range of projects across the LAIC, from low TRL research to deployment.
• Develop and apply AI technologies to solve complex problems and field innovative solutions.
• Collaborative and Dynamic Work Environment:
• Work collaboratively with cross-functional teams to develop and deploy AI solutions.
• Participate in a fast-paced and dynamic work environment with a focus on innovation and experimentation.
• Professional Development and Growth Opportunities:
• Opportunities for professional growth and development in AI and related fields.
• Mentorship and guidance from experienced engineers and leaders.
The preferred work locations for this position are Lockheed Martin facilities in Fort Worth, TX, or Palmdale, CA. Remote work arrangements may also be considered for qualified candidates.
#LMLAIC

Qualifications:

• Bachelor’s Degree in Engineering, Computer Science, or other related discipline
• Experience developing with machine learning frameworks (Pytorch, Tensorflow, JAX, Keras, etc.)
• Experience with Python and multiple libraries (NumPy, OpenCV, Scikit, Pandas, SciPy, etc.)
• Experience with machine learning and deep learning for signal processing applications such as radar, communication, electronic warfare, sonar, audio, or biomedical
• Broad experience in the application and state of AI across multiple lines of business and customer programs in a large enterprise or government position

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About Lockheed Martin

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As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912

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