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Audio Machine Learning Intern Jobs in Frisco, TX

Artificial Intelligence & Machine Learning (AI & ML) Intern Position Title: AI & ML Intern Reporting to: Director, AI Strategy & Architecture Position Summary The AI & ML Intern at Juno Labs will ...

Artificial Intelligence & Machine Learning (AI & ML) Intern Position Title: AI & ML Intern Reporting to: Director, AI Strategy & Architecture Position Summary The AI & ML Intern at Juno Labs will ...

Artificial Intelligence & Machine Learning (AI & ML) Intern Position Title: AI & ML Intern Reporting to: Director, AI Strategy & Architecture Position Summary The AI & ML Intern at Juno Labs will ...

Position Title: Data Science Intern Position Overview: We are seeking talented and driven ... Support the development, testing, and validation of machine learning and AI models. Collaborate ...

Junior Engineering Intern

Addison, TX · On-site

$16.25 - $21/hr

... machine learning, and search technologies, with a focus on applying these concepts in cloud ... The intern program is typically three months; however, this timeframe may vary depending on the ...

Intern, Corporate Development & Strategy DEPARTMENT: Finance REPORTS TO: Senior Vice President ... Leverage data analytics, machine learning, and AI tools to support models evaluating venue ...

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Prior experience must include applied AI / Machine Learning , with hands-on exposure to Generative ...

Copart is looking for a talented and enthusiastic Mobile Developer Intern with knowledge of ... Basic understanding of machine learning concepts, particularly in natural language processing and ...

At NextNav we are looking for a creative, and passionate intern to join a project centered around Artificial Intelligence and Machine Learning. The candidate will closely work with NextNav's AI/ML ...

New

Data Analytics Intern Interested in getting personal insight and experience interning for one of ... Create a Machine Learning Algorithm that will power a new platform feature • Support the ...

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Audio Machine Learning Intern information

See Frisco, TX salary details

$23.9K

$39.9K

$82.4K

How much do audio machine learning intern jobs pay per year?

As of May 28, 2026, the average yearly pay for audio machine learning intern in Frisco, TX is $39,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,400.00 and $43,100.00 per year, depending on experience, location, and employer.

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 Frisco, TX? For Audio Machine Learning Intern jobs in Frisco, TX, the most frequently searched job titles are:
What job categories do people searching Audio Machine Learning Intern jobs in Frisco, TX look for? The top searched job categories for Audio Machine Learning Intern jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Audio Machine Learning Intern jobs? Cities near Frisco, TX with the most Audio Machine Learning Intern job openings:
AI & ML Intern

Part-time

Posted 2 days ago


Job description

Artificial Intelligence & Machine Learning (AI & ML) Intern

Position Title: AI & ML Intern
Reporting to: Director, AI Strategy & Architecture
Position Summary

The AI & ML Intern at Juno Labs will support the design, development, and testing of artificial intelligence and machine learning models to solve real-world business challenges. This role provides hands-on exposure to data preparation, model experimentation, and performance evaluation, while collaborating with experienced data scientists and engineers. The internship is designed to provide practical learning opportunities, contribute to active projects, and help advance Juno Labs' innovation in applied AI solutions.

Key Responsibilities

  • Assist in collecting, cleaning, and preparing datasets for machine learning experiments.
  • Support the development, training, and evaluation of AI & ML models under supervision.
  • Conduct exploratory data analysis (EDA) to identify patterns, trends, and insights.
  • Research and test new algorithms, libraries, and tools relevant to project needs.
  • Document processes, results, and findings to support team knowledge sharing.
  • Collaborate with engineers to integrate models into prototype or production environments.
  • Participate in code reviews, team discussions, and project planning sessions.
  • Assist in preparing presentations or reports on AI & ML project outcomes.
  • Stay current with academic research and industry trends in AI & ML.
  • Contribute to a culture of innovation, learning, and continuous improvement at Juno Labs.
  • Other duties as assigned


Qualifications

  • Current enrollment in a Bachelor's or Master's program in Computer Science, Data Science, Engineering, Mathematics, or a related field

  • Foundational knowledge of machine learning concepts and techniques

  • Experience with programming languages such as Python and libraries such as TensorFlow, PyTorch, or scikit-learn

  • Experience with LangChain, Crew AI, Amazon Bedrock, Google Vertex AI or Azure OpenAI Cognitive Services preferred, but not required

  • Familiarity with data analysis tools (Pandas, NumPy, SQL, or similar)

  • Strong problem-solving skills and ability to work with ambiguity

  • Effective written and verbal communication skills

  • Demonstrated curiosity and eagerness to learn from feedback

  • Ability to work independently and collaboratively in a team environment

  • Alignment with RTS Core Values