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Internship Audio Machine Learning Jobs in Missouri

Staff, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

Conduct cutting-edge research in machine learning, AI (including generative/agentic AI ... Mentor team members and interns, offering guidance on research methods, problem-solving, and career ...

Staff, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

Conduct cutting-edge research in machine learning, AI (including generative/agentic AI ... Mentor team members and interns, offering guidance on research methods, problem-solving, and career ...

Staff, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

Conduct cutting-edge research in machine learning, AI (including generative/agentic AI ... Mentor team members and interns, offering guidance on research methods, problem-solving, and career ...

... machine learning concepts. Important Information: - This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. - Candidates must be ...

... learning to ensure the best engineering solutions are provided. The McClure team takes pride in the ... audio/visual systems, and miscellaneous electrical and control systems), while coordinating with ...

... learning to ensure the best engineering solutions are provided. The McClure team takes pride in the ... audio/visual systems, and miscellaneous electrical and control systems), while coordinating with ...

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Showing results 1-20

Internship Audio Machine Learning information

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

AspectInternship Audio Machine LearningAudio Signal Processing Intern
Required SkillsMachine learning, programming, audio analysisSignal processing, audio engineering, MATLAB
Work EnvironmentResearch labs, tech companies, AI-focused teamsAudio labs, audio equipment companies, research institutions
Industry UsageAI, speech recognition, music analysisAudio engineering, sound design, acoustics

Internship Audio Machine Learning focuses on developing algorithms for audio data, emphasizing machine learning techniques. In contrast, Audio Signal Processing Interns work on analyzing and manipulating audio signals using signal processing methods. Both roles often require programming skills and are found in tech and audio industries, but their core focus differs: AI-driven analysis versus traditional signal processing.

What cities in Missouri are hiring for Internship Audio Machine Learning jobs? Cities in Missouri with the most Internship Audio Machine Learning job openings:
Performance Engineer Intern, Systems Software- Fall 2026

Performance Engineer Intern, Systems Software- Fall 2026

Nvidia

Saint Louis, MO • On-site

Full-time

Posted 7 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

NVIDIA is a worldwide technology company headquartered in Santa Clara, California. NVIDIA manufactures graphics processing units (GPUs), as well as system on a chip units (SOCs) for the expanding markets. Our work in visual computing, the art and science of computer graphics, has led to thousands of patented inventions, breakthrough technologies, deep industry relationships and a globally recognized brand. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers inventions such as artificial intelligence and autonomous cars.

You would join the team responsible for the maintenance, development, and execution of Desktop Gaming Performance testing in Linux and Windows environments for the world's fastest, power efficient GPUs. This job has a preferred duration of 8-12 months.

What you'll be doing:

  • Writing and maintaining containerized GPU accelerated workloads for the financial services industry, from deep learning training and inference, to portfolio optimization and backtesting.

  • Running,validating, and analyzing benchmarking models at scale on HPC clusters.

  • Visualizing performance data, building charts and dashboards using internal schemas and tooling.

  • Working closely with the latest and greatest in financial AI models and tooling to help build reference models for NVIDIA.

What we need to see:

  • Enrolled in a Bachelors program majoring in Computer Engineering, Software Engineering, Computer Science, or related field.

  • Desire to improve code quality by learning and applying computer science fundamentals, algorithms, and data structures.

  • Comfort with teamwork, collaboration,and a desire to reach across functional borders to develop new partnerships.

  • Active experience with Python.

  • Working comfort in a Linux command-line environment with version control.

  • Foundational understanding and interest of the machine learning lifecycle (training, evaluation, and inference).

Ways to stand out from the crowd:

  • Familiarity with PyTorch and/or training, testing, and evaluating machine learning models.

  • Experience with GPU computing or CUDA and libraries like cuOPT, CUTLASS, cuDNN, etc.

  • Exposure to workload orchestration and job schedulers (Kubernetes, Slurm).

  • Experience with containerized applications and resource management.

  • Interest in quantitative finance and applying performance data to real-world problems.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Internbenefits.

Applications for this job will be accepted at least until July 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993