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Audio Machine Learning Intern Jobs in Virginia (NOW HIRING)

Machine Learning Engineer

Chantilly, VA · On-site

$200K - $240K/yr

Description SAIC is seeking a skilled Machine Learning Engineer to design, develop, and deploy ... Audio engineering/digital processing (DSP) familiarity * Kubernetes familiarity * Rancher

New

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Machine Learning Engineer

Chantilly, VA · Remote

$200K - $240K/yr

ORA_ON_SITE Description SAIC is seeking a skilled Machine Learning Engineer to design, develop, and ... Audio engineering/digital processing (DSP) familiarity * Kubernetes familiarity * Rancher

Machine Learning Engineer

Chantilly, VA · On-site

$200K - $240K/yr

ORA_ON_SITE Description SAIC is seeking a skilled Machine Learning Engineer to design, develop, and ... Audio engineering/digital processing (DSP) familiarity * Kubernetes familiarity * Rancher

New

Missing Children Division Intern (Special Programs) DIVISION: Missing Children Division (MCD) LOCATION: Alexandria, VA SEMESTER: Fall 2026 NOTE: If the application deadline has been reached and ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Showing results 21-40

Audio Machine Learning Intern information

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 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 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 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 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:

Summer 2027 AI/Machine Learning Internship -DC Metro Area

GDIT

Falls Church, VA • On-site, Remote

$22.95 - $31.05/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

88th of 223 rated it services


Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

None

Job Family:

Interns

Job Qualifications:

Skills:

Communication, Microsoft Office, Problem Solving, Team Player

Certifications:

None

Experience:

0 + years of related experience

US Citizenship Required:

No

Job Description:

Summer 2027 Artificial Intelligence/Machine Learning Associate Part Time On-Call Internship

Sponsorship is not available for this role.

At GDIT, our people are our business. We pride ourselves on the work our innovators do to support and secure some of the most complex government, defense, and intelligence projects across the world. We wouldn't be successful without our ability to attract new talent to join our team.

What sets a GDIT internship experience apart from other organizations in the industry?

GDIT's Summer Internship Program is designed with you in mind! Our internship provides you the opportunity to be a part of a collaborative team that is helping to solve our clients' most challenging matters. Throughout GDIT's 10-week Summer Internship Program, you will have the opportunity to do the following:

  • Work side-by-side with GDIT professionals delivering work for clients.
  • Collaborate with a team of peers to research and propose solutions to a current business challenge.
  • Participate in a mentoring circle led by an early career champion.
  • Interact with GDIT leaders.
  • Participate in professional development.

How You'll Make this Internship Opportunity Your Own

Our Artificial Intelligence/ Machine Learningsummer interns will work on a range of projects that ideally align with their interests. Some interns will use statistical techniques to provide insights into internal or external customer data to guide decision-making and enhance user experience. Other interns will build machine learning algorithms or work on artificial intelligence system deployments. The ideal intern will have knowledge of computer languages and their applications to enable a system to perform specific functions.

The Must-Haves

  • Currently enrolled in an associate's, bachelor's or master's degree program in computer science, IT, engineering, or other STEM field from a United States-based college or university.
  • Basic understanding of Microsoft Office products (e.g., Word, PowerPoint, SharePoint, Excel, and Teams)

What You'll Need to Deliver Your Best Every Day

  • Problem solving and interest in big data.
  • Interest in data transformation, model selection, cross-validation, and deployment
  • Interest or experience with big data platform tools
  • Knowledge of statistical techniques
  • Knowledge of Python or other programming languages
  • Experience working in a collaborative team environment.
  • Intuitiveness with an ability to identify and solve complex problems related to rapidly changing technology.
  • Ability to effectively articulate technical challenges and solutions.

GDIT interns are paid and full-time (40 hours/week) for 10 consecutive Applicants should have a minimum of one semester remaining in their studies after their internship concludes. Take the first step and apply today!

Note: We receive a high volume of applications and review them on a rolling basis. We encourage you to apply as soon as possible. Our goal is to follow up with you within two weeks of your application.


#GDITInternship

The likely hourly rate for this position is between $22.95 - $31.05. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Hybrid

Work Location:

USA VA Falls Church

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identify Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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Benefits

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US