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Audio Machine Learning Intern Jobs in Virginia (NOW HIRING)

DZYNE Technologies

Data Science Intern

Fairfax, VA · On-site

$27/hr

Data Science Intern Location: Fairfax, VA Work Arrangement: On-site Overview : We are seeking a ... Exposure to machine learning libraries (pandas, NumPy, scikit-learn, etc.) * Familiarity with data ...

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Audio Machine Learning Intern information

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

To thrive as an Audio Machine Learning Intern, you need a solid background in signal processing, machine learning fundamentals, and programming skills, often supported by coursework or research in computer science or electrical engineering. Familiarity with Python, TensorFlow or PyTorch, and audio processing libraries like Librosa is typically required. Creativity, problem-solving abilities, and strong collaboration skills help you stand out in this role. These skills are crucial for developing innovative audio solutions, interpreting complex data, and working effectively within research or product teams.

What types of projects can an Audio Machine Learning Intern expect to work on during their internship?

As an Audio Machine Learning Intern, you can expect to be involved in projects such as developing and fine-tuning audio classification models, working on speech recognition algorithms, or improving the accuracy of sound event detection systems. You may also assist with the collection and preprocessing of audio datasets, as well as support model evaluation and optimization. Collaboration with data scientists, audio engineers, and software developers is common, offering a hands-on learning environment and exposure to end-to-end machine learning workflows in the audio domain.

What does an Audio Machine Learning Intern do?

An Audio Machine Learning Intern assists in developing and improving machine learning models that process and analyze audio data. Their tasks may include data preprocessing, feature extraction, model training, and evaluation for applications like speech recognition, sound classification, or music analysis. Interns often collaborate with engineers and researchers to experiment with new algorithms and optimize audio-based AI systems. This role provides hands-on experience in both audio signal processing and machine learning techniques.

What is the difference between Audio Machine Learning Intern vs Audio Data Analyst?

AspectAudio Machine Learning InternAudio Data Analyst
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsDegree in Data Analysis, Statistics, or related fields; may have certifications in data tools
Work EnvironmentResearch labs, tech companies, or startups focusing on AI and audio techData-driven departments within media, entertainment, or tech companies
Employer & Industry UsageUsed in AI development, research projects, and product innovationUsed for analyzing audio data, improving user experience, and reporting

The Audio Machine Learning Intern focuses on developing models and algorithms for audio data, often in research or development settings. In contrast, the Audio Data Analyst primarily interprets audio data to generate insights and support decision-making. Both roles require familiarity with audio data, but the intern role emphasizes machine learning skills, while the analyst role centers on data analysis and reporting.

What are popular job titles related to Audio Machine Learning Intern jobs in Virginia? For Audio Machine Learning Intern jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Audio Machine Learning Intern jobs in Virginia look for? The top searched job categories for Audio Machine Learning Intern jobs in Virginia are:
What cities in Virginia are hiring for Audio Machine Learning Intern jobs? Cities in Virginia with the most Audio Machine Learning Intern job openings:
Audio Machine Learning Intern jobs near you
Data Science Intern (USPS) - Summer 2026

Data Science Intern (USPS) - Summer 2026

Logistics Management Institute

Tysons, VA • On-site

Other

Posted 23 days ago

Job description

Overview
LMI is seeking a highly motivated Data Science & AI/ML Intern for Summer 2026 to contribute to impactful projects in data science, software development, and artificial intelligence/machine learning (AI/ML). This internship provides an opportunity to work with cutting-edge technologies, analyze complex datasets, and develop AI-driven solutions that support LMI's mission to provide innovative solutions for government clients.
This role is dedicated to bolstering our Advanced Analytics & AI practice and supporting our USPS customer.
*This position is currently full-time onsite at the customers Washington DC office.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
  • Participate in research and development efforts focused on emerging AI and data science methodologies.
  • Conduct data analysis and build predictive models using Python, SQL, and machine learning libraries.
  • Develop and implement AI/ML algorithms to solve real-world problems.
  • Assist in the development of software applications leveraging cloud computing platforms like AWS or Azure.
  • Create data visualizations and dashboards to present analytical insights effectively.
  • Collaborate with cross-functional teams to integrate AI-driven solutions into existing systems.

Qualifications
  • Current enrollment in a degree seeking program required
  • Availability to work full-time for at least 10-12 weeks for summer 2026
  • Must be available starting at the end of May 2026
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
  • Experience with Python, SQL, and machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).
  • Familiarity with software development, cloud computing (AWS, Azure), and algorithms.
  • Strong analytical and problem-solving skills with the ability to work on complex datasets.
  • Experience with data visualization tools (Tableau, Power BI, Matplotlib) is a plus.
  • Strong communication and teamwork skills.
  • Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. For this position, LMI will only consider applicants who are eligible for security clearances. Only US Citizens are eligible for a security clearance.

DESIRED QUALIFICATIONS/SKILLS
  • Experience working with Microsoft Excel and Access.
  • Experience with Visual Basic for Applications and Java is highly desirable.
  • Programming experience-ability to program and learn new programming languages quickly.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

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